Top Canada Jobs

 We are seeking an experienced Data Scientist (NLU, LLM) to join our team to develop and implement AI-based prototypes and solutions. The candidate should have hands-on experience in integrating AI systems with existing applications and developing new AI-enabled solutions. The Data Scientist will be responsible for designing, prototyping and implementing high-performance and robust AI systems with our team of product managers and engineers.

You will:

• Collaborate with the team to design, experiment and deploy AI-based solutions.
• Develop and maintain integrations with the existing Ed Tech platform and services.
• Evaluate performance of models and applications.
• Assist in implementing and/or integrating AI models in a development environment.
• Design and implement data models and data storage systems that are optimized for AI solutions.
• Collaborate with stakeholders to identify opportunities for AI solutions to improve business processes.
• Continuously research and evaluate new AI technologies and techniques to enhance our offerings.

• Related degree(s) in Science, Mathematics, or a related field.
• 3+ years of experience in developing and deploying AI-based solutions.
• Strong fundamentals of machine learning algorithms used in NLP and NLU, such as regression, decision trees, random forests, ensembling, neural network.
• Working experience in latest NLU technologies/techniques such as LSTM, BERT and Transformer.
• Experience in commercial LLMs and multi-modal AI systems such as OpenAI API, Rev AI and Stability AI.
• Knowledge of LLM libraries such as LlamaIndex, LangChain and Pinecone.
• Knowledge of ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience in integrating AI systems with existing applications.
• Programming skills in Python, Java, or any other programming language.
• Knowledge of software development methodologies, including Agile and DevOps.
• Experience in designing and implementing scalable, high-performance, and robust systems.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Why team members love working at Top Hat :

*A noble mission that creates meaningful, fulfilling work

*A team that cares deeply for customers and for each other

*We’re a company of invested owners - every Top Hatter receives stock options

*Professional learning and development for all role levels

*An awesome and welcoming Toronto HQ, and a growing sales hub in Austin, Texas

*Competitive health benefits that start on day one

*A management team focused on performance, growth, engagement and connection

*Our winning strategy and market potential

*Innovative PTO policy with lots of time and space for self-care

*Passionate customers that believe in us—and what we do

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.

Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.

Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.

Want to become a key part of the Generative AI revolution? We should talk.

Netomi is seeking a highly analytical and detail-oriented manager to join the Analytics team. As part of the team, you will work with product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and, thereby contributing to improve the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data.

We are looking for a Manager with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the feature development for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with teams.

Job Responsibilities:

• Planning, design and execution of SOA backend platforms. Mostly around REST based Web
• Build frameworks using JAVA (Spark,Spring, ORM)
• High level and Low level design of the highly scalable components
• Track defects and works with business owners and users to triage bugs and manage a backlog
• Taking care of Nonfunctional requirements like Scale/ High Availability/Performance/Security
• Build/Deployments/DevOps-related work on AWS
• Works collaboratively in a multi-disciplinary team environment; establishes and maintains professional networks with subject matter experts
• Be the key technical advisor to define the roadmap of project
• Lead teams of talented engineers and coach them to their full potential.
• As you will be managing the analytics team, you are required to manage the dynamics of the requirements, prioritization, and deliveries
• Give growth charter to the team members and conduct 1-1 / feedback/appraisal
• Lead by example in software development best practices, agile development, and cross-team collaboration.
• Bring in and influence engineering optimizations
• Work with Product Managers and partners to define business roadmaps.
• Work with architects and fellow engineers to define technical architectures and execution plans.
• Execute business and technology roadmaps by collaborating with other engineering teams.
• Be accountable for the outcomes, measured by appropriate metrics
• Drive product vision and strategy

• 7+ years’ Experience preferred.B.Tech/M.Tech in Computer Science or related fields.
• 3+ years of people management experience.
• 2+ years of recent Frontend Web and back-end development experience.
• Extensive experience running teams in an agile environment.
• Deep experience with the full software development life cycle.
• AWS, Kafka, AWS Kinesis, and MWAA experience desirable
• Proficient with mainstream backend technologies such as Java, Spring boot, RDBMS, NoSQL
• Strong experience with AWS cloud technologies.
• Strong Analytical skills – can ask the right questions, analyze data, concludes by making appropriate assumptions
• Organization skills – demonstrated ability to work independently to make complex investigations
• Working experience on asynchronous messaging systems like Kafka.
• Strong ability in architectural design and discussion.
• Proven ability to manage multiple, competing for priorities simultaneously.
• Excellent communication skills to convey technical insights to a non-technical audience 

• Proficiency in SQL and Advanced Excel (Array and Statistical formulas)
• Prior data mining, DW / BI experience
• Knowledge of BI & statistical tools such as Power BI, SQL & ETL DW concepts
• Automate the report generation process through the use of BI tools and programming techniques: such as SQL, DW concepts
• Good knowledge of  R, and ML modeling
• Understanding visualization tools such as PowerBI, Tableau, Datazen, and SSRS is a plus
• Experience with modern Data warehousing solutions such as AWS Redshift, Snowflake, GCP BigQuery

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

The JaneX team is excited to be building Jane’s first-ever AI-focused team to make Jane smarter, improving our Clinical Charting, Billing, and/or other key parts of Jane to help Practitioners and Clinic owners do their jobs faster and more effectively. The members of this team are entrepreneurs who love to invent and forge new paths. We’ll be breaking new ground, using new technologies, and unlocking new capabilities that will give Jane a competitive edge. We need this team to operate like a startup, driving towards an ambitious goal of getting to general availability (GA) within a year. 

Due to the nature of this team, you will have very few big Dev Org constraints on how you work, but you will have the challenges of delivering at a seed round startup pace. It’s going to be incredibly fun, with lots of learning, and a bit of a sink-or-swim feeling. You’ll get to leverage new technologies and innovations to deliver value in a new way at a fast pace. If you’re in a stage of life where you’re overtime is not realistic for you, you may not find this team the right fit. If you’re eager to push yourself and try and achieve something truly incredible in a year, this may be the one for you.

As a member of this team, you will drive innovative solutions from zero code to production. You would be delivering this brand new functionality, leveraging technologies like OpenAI to solve new business problems and give Jane a competitive edge to Help More Helpers.

Like with all positions at Jane, this position is a remote position, allowing you to work anywhere you want across Canada. Building a delighted team who can delight our customers is part of Jane’s DNA. In our most recent company-wide health check, 99% of our team agreed that our founders demonstrate people are important to Jane’s success. On top of that, 98% of our team felt Manager cares about them as human beings and that they are supported when needing to arrange time off from work. We’d never claim to be perfect, but we’re working hard to listen to our people and improve each day.

We really want the people who work at Jane to love being here, so it's important that we start with a bit about what makes our company unique and try to be as transparent as possible. Our values also provide some insights into Jane and hopefully, you’ll have a better idea if this might be the kind of company you want to be part of.

Before we were Jane, our Co-Founders were solving problems for their own clinics not realizing that a few years later, this team would grow to support tens of thousands of healthcare practices in more than 60 countries. Our platform is now helping to modernize the world of practice management software. We enable the likes of physiotherapists, mental health counsellors, chiropractors, and other allied health practitioners to run their practices in a digital-first way through features such as online booking, charting, scheduling, telehealth, and billing along with an evolving library of features. You can see more of them here. Although we’ve grown, still to this day, we’re rooted in solving clinics’ problems and making sure we don’t lose sight of Jane’s vision.

We have remained profitable for the past seven years, we’re product-led and growing organically (and responsibly) to the point where 85% of our customer growth is either from customer referrals or word of mouth. Growth like this is unique, especially in the world of SaaS, and it doesn’t happen by chance. We have a brilliant team of over 400 Janers who are doing an amazing job of listening to our customers, building what they need, and providing industry-leading support.

We pride ourselves on flexibility & autonomy, some of our team block out their calendars to pick up their children from school (and this is normal at Jane), and we even have a #kids channel in Slack. We’re not a clock-in clock-out system-type environment. With that being said, we’re not going to paint the picture of a perfect environment either. We’re a company that’s scaling quickly, we have many moving parts, many of us are doing this for the first time and sometimes, we don’t have processes in place or clear views which can require a lot of resourcefulness and a passion for problem-solving.

With all that to say, if you’re looking for an environment where you can grow, stretch yourself, and work with some incredibly talented people on problems that are positively impacting people's lives, Jane could be the place for you.

So what’s happening in 2023? We’re iterating on our existing product to make our customers more successful and we’re working on some complex technical challenges with the goal of operating with a world-class cadence for building and deploying products. From decoupling complex parts of Jane, increasing the predictability of our roadmap, and creating a greater flow for maximum effectiveness of teams. To provide some context into our growth, in 2022, we processed over 93 million patient appointments, and our scheduling application alone receives on average, 740 million API calls per week. This is up from 250 million per week in 2021!

Of course, it's not all about the numbers, but this puts into perspective the scale of Jane, from the thousands of practitioners whose lives are made easier each day to the millions of patients receiving treatment. If you’re the type of person excited by this growth, we’d love to speak with you. 

What you'll be doing:

• Applying your expertise as a 0 to 1 specialist, embodying an entrepreneurial spirit that thrives on building products from scratch. You bring a wealth of experience and can share valuable insights on the lessons and challenges encountered throughout your career. You excel in challenging situations and find motivation in overcoming them.
• Demonstrating a strong track record of successfully shipping features, embracing experimentation, learning from failures, and iterating relentlessly. Your unwavering determination fuels the drive for continuous improvement.
• Leveraging your extensive experiences to make critical technical decisions for the team, while also fostering the growth and expertise of both your team and the broader Jane organization.
• Acting as a strong advocate for our customers' needs, ensuring that your team tackles real-world problems with a focus on prioritizing safety and security during implementation.
• Possessing a deep understanding of tooling and best practices related to code testability and maintainability. You utilize this knowledge to deliver production solutions that meet high-quality standards.
• Demonstrating comprehensive knowledge and a mindset geared towards effective operations. You empower the team to monitor and maintain their infrastructure in production, prioritizing observability, traceability, and reliability at the service layer.
• Exhibiting a deep understanding of Large Language models, the use of AI, and leveraging cloud tools like OpenAI to enhance the intelligence of our product.
• Thriving in the face of uncertainty, you are motivated to roll up your sleeves and figure out solutions. Instead of waiting on other experts, you take the initiative by learning through reading books, taking online courses, and conducting experiments until the task is completed.
• Displaying confidence in mentoring other developers and providing guidance on best practices and design principles as needed.
• Exercising a strong sense of ownership, continuously striving for improvement in terms of quality and productivity across deliverables, code reviews, performance, and security.
• Ensuring the team is fully informed about their commitments through an agile and iterative approach. You foster a transparent environment where goals are well-defined and understood by all team members.

• Proven track record of writing greenfield code with new technologies and getting it across the line to general release and adoption.
• Experience scaling systems both vertically and horizontally using a metrics-based approach to decision-making
• Strong knowledge and experience with event- or message-driven architecture (e.g. Kafka)
• Proven track record of using OpenAI, ML, or a similar language-based technology to identify key trends or signals from large amounts of data. You’ve delivered at least one or more projects in this space to production.
• Proven track record in creating and maintaining highly performant services, through performance profiling and tuning, in any of the following languages: Java (Scala, Kotlin), Python, Go, Rust
• Cloud architecture (e.g. AWS, GCP, Azure), containerization (e.g. Docker, Kubernetes) and some Infrastructure as code (e.g. Terraform or Helm) experience
• Experience applying architectural patterns and design patterns in and across services, with an eye towards clean architecture and clean coding practices
• Demonstrated ability to share technical details clearly, both in spoken and written form.

• If you do not meet these requirements, we still encourage you to apply.
• Experience exposing services to third-party integrators - Advanced ML professional expertise
• Strong understanding of using cloud-based AI and ML tooling to accelerate time to production.

• Our hiring process consists of a 45-minute Zoom call with our recruiter, where they will discuss your background, motivations, and provide information about the role, Jane, compensation, and benefits.
• Next, there will be a 1-hour interview with the hiring manager, delving deeper into your experience and motivations, with a mix of technical and non-technical questions.
• You will be given a take-home assignment, assuming you are selected, which will be completed in Ruby, Java, C#, Go, or Python. Please note that the repository for this assignment will be deleted and not used internally or in production.
• Following that, there will be two 90 minute interviews focusing on technical and architecture topics, as well as project, customer, and values.
• Afterward, our team will hold a debriefing session to discuss their feedback. To mitigate bias, feedback is not discussed among team members until this meeting.
• Throughout the process, your recruiter will provide regular check-ins, updates, and feedback. Assuming all goes well, we will then proceed to the offer and reference check stage. If we decide to keep in touch in the future, you'll be provided with detailed feedback as to why.

• The ability to work from anywhere in Canada. We also have some flexibility to occasionally work outside of Canada.
• An equitable approach to compensation means compensating you for the positive impact you have on our customers, product, and people.
• Jane’s Employee Stock Option Plan. Jane is privately owned, growing very fast and operating profitably. Profitable hyper-growth rarely happens at our scale. When it does, it creates value quickly (it already has for many of our team members).
• A flexible time off package that includes your vacation time, holiday gifted time off for everyone at Jane, and your birthday off (because who wants to work on their birthday?)
• Jane provides extended health care benefits to you and your dependents starting on your very first day. You’ll receive $750 per individual Allied Health discipline along with $2,000 in coverage for Registered Clinical Counsellors, Psychotherapists, Psychologists, and Social Workers.
• A yearly $500 wellness spending account to use towards maintaining your health and wellness in whatever way works best for you.
• A one-time $500 CAD total work from home stipend for a desk and/or a chair (i.e., you can spend the entire amount on a desk or just a chair, or split the $500 how you’d like between the two).
• Parental top-up that allows Janers to plan for the future.
• Access to eCounselling, primary care, legal and financial counselling, and career coaching.

At Jane, we’re committed to fostering an environment that allows you to come to work as your truest self. We believe it’s important to actively recognize, embrace, and celebrate our differences in order to make Jane an inclusive, equitable, and diverse workplace.

We want to build a team of people who make conversations rich with perspective and experience. We are committed to listening to every voice in order to learn and grow because doing this will allow us to meet the needs of the diverse community of helpers that Jane serves.

We do not tolerate discrimination, prejudice, or oppressive isms of any kind. Employment is decided on the basis of qualifications, merit, experience, and the needs of the Jane community. We encourage anyone who requires accommodation or adjustments throughout the interview process to let us know, and we will do our best to support you.

Please read the IMPORTANT section at the end of this posting.

About Very

Very is a fully distributed IoT technology firm led by expert problem-solvers to create efficient, scalable solutions that move commercial, industrial, and consumer IoT projects from pilot to production in record time. 

We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right — as we’ve won numerous workplace awards over the years. Most recently in 2021 we were certified as a Great Place to Work, and in 2022 we were listed again in Parity.org’s list of Best Companies for Women to Advance.

We believe that everything we build — and the people we build it with — has the potential to change the world. Our client list includes numerous well-known brands determined to leverage the power of IoT to drive material outcomes — such as Vizio, Peloton, Clear, iHeart Radio and Fellowes. Our goal, for each and every client we partner with, is to create high-value solutions through a collaborative and user-centered process.

About This Role

As a Generalist Lead Data Scientist at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our client's business needs, and reliable machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in machine learning and data science, as well as strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth.  Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building ML models for production systems.

What You’ll Be Working On

At Very, there is a never-ending supply of variety to the types of projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging machine learning in a fast, predictable manner. 

You’ll spend 80-90% of your time working on products or platforms for one of our clients, and the other 10-20% of your time will be spent improving Very’s Data Science Practice. This will involve:

- Working with other data scientists to continuously improve our delivery process for data science applications.

- Working with our marketing team to generate high-quality content (blog posts, conference presentations)

- Working with our sales team to close deals and build meaningful, well-scoped proposals for potential clients.

As a lead data scientist, you will be expected to not only understand the following analytical approaches but also be able to guide others in their implementation:

- Predictive modeling and/or anomaly detection on multivariate time series data

- State classification and prediction for geospatial time series data

- Regression and classification using a variety of deep learning and ensemble tree-based methods

- Clustering/segmentation

- Dimensionality reduction or latent space representation

- Classical statistical analysis and signal processing

Our Current Tooling

Our data science contracts typically involve building a greenfield API or greenfield product from the ground up. In the context of the data science and machine learning pipelines, we typically leverage:

- Git, GitHub, CircleCI or GitHub Actions (CI/CD), pytest (TDD)

- The standard SciPy Stack (Numpy, SciPy, Pandas, Scikit-Learn, Matplotlib)

- SQL/Postgres

- Docker

- Jupyter notebooks for prototyping

- Cloud architecture and resources for production systems. eg)

-- AWS: Lambda, ECR/ECS, RDS, API Gateway, Batch, Sagemaker

-- Azure: Functions, Container Registry/Instances, SQL Database [for PostgreSQL/MySQL], API Management, Machine Learning

-- 3rd party: TimescaleDB

- Serverless or Terraform for Infrastructure-as-Code

- MLflow

- PyTorch

On our full-service builds, we often reach for the following tools. Experience with them is not required, but any familiarity with these tools is a plus. Our build teams operate with a very high degree of collaboration, so you will definitely have run-ins with these stacks throughout your time here:

- Python web development frameworks (Django, Flask)

- React & React Native

- Swift & Objective C

- Ruby on Rails

As an IoT technology company our data science pipelines include “Things”. This will require you to build pipelines and deploy analytical models to hardware on the edge in addition to the cloud. This requires a deep collaboration with the design, software and hardware teams in the following environments:

- Elixir, Phoenix, and Nerves

- Embedded C and other lower level languages such as Rust

- CI/CD including hardware and end-to-end testing and verification

- Development Single-Board Computers such as RPi

At Very we have two types of lead positions; a specialist and generalist. Both positions go beyond the mastery of the core Data Science competencies to include a leadership position. The specialist lead focuses in great depth in one or more areas of Data Science and spreads that mastery across Very. The generalist lead takes a more multi-disciplinary approach and leads multi-disciplinary projects from a technical perspective.

Responsibilities

-- Work with stakeholders (clients, sales, engineers & designers) to define Statements Of Work (SOW)

-- Communicate how data science can deliver value to the client

-- Estimate quantity of work required to unlock this value

-- Identify related assumptions, risks and dependencies 

- Take ownership of the data science components and related systems to ensure project success

-- Architect, build and deploy reliable end-to-end data and ML pipelines into production

-- Ensure the highest level of testing across the full data pipeline and operating envelope

-- Execute and document all algorithm verification testing for certification

-- Build and nurture strong relationships with clients, understand their perspective and walk them through the data science value chain

-- Facilitate complex conversations to achieve alignment to drive positive outcomes   

- Continue to expand and evolve the Data Science (DS) practice at Very

-- Provide technical guidance to DS and non-DS team members

-- Pairs with mid team members to develop their skills and deliver on projects 

-- Continually learn, share and refine your DS skills and knowledge

-- Establish and enact DataOps and MLOps best practices 

- Take on the responsibility of Technical Lead on complex multi-disciplinary projects

- - Build reliable product roadmaps with technical implementation strategies

- - Monitor and optimize the technical implementation and coordination of the project

- - Identify and mitigate risks and seek assistance when required

- As a client services organization, travel may be required up to 10% of the time.

Qualifications

Required

- Master’s degree in Data Science related field

- 5+ years of related experience:

-- Deployed statistical, ML or other analytical models to production

-- Led teams with hardware and software engineers-

-- Performed real-time signal processing or led teams that did so

- Strong written and spoken communication skills in English

- Proficient in Agile development

- Mastery in analytical framing:

-- Breaking down solutions into “thin vertical slices” of work 

-- Guiding interdisciplinary team to successfully estimate and execute these slices   

- Deep understanding of all four types analytics (Descriptive, Diagnostic, Predictive & Prescriptive):

-- Translating desired client outcomes to the appropriate type

-- Understanding the data requirements and techniques to achieve each type  

- Experience using a cloud computing platform like AWS, GCP, or Azure

- Expert-level Python development skills related to Data Science:

-- Object-Oriented Programming

-- Automated testing, code coverage, model building & evaluation

-- SciPy Stack, Scikit-learn, Tensorflow or PyTorch

-- GitHub CI/CD best practices 

- Experience developing in, compiling and deploying low level software; C++, Embedded C or Rust preferred

- Proficient developing in Linux including and light administration

Nice-to-have

- 7+ years of related experience including with connected devices

- Proficient in embedded real-time signal processing

- AWS Professional level certification

- Familiarity with Elixir, Phoenix, and Nerves

- Hands-on experience with Single-Board Computers such as RPi

Compensation

Base Compensation

Between CAD $140,625 and $173,400 per year, commiserate with experience.

Variable Compensation

Up to 15% of your base compensation in the first year

We also offer world-class perks:

- Extended Health Care Insurance (Medical, Dental, Vision)

- Paid Parental Leave

- Life Insurance / AD+D

- Registered Retirement Service Plan RRSP = 25%  / Match- $1 CAD for every $4 CAD contributed.

- USD $600/yr Home Office Stipend to use towards your home office/workstation.

- $2,500 yearly stipend for continuous education upon one year of employment.  

- USD $150/mo Monthly Communications Stipend (Can be used towards Cell Phone Data Plan, WiFi Plan, VOIP, VPN)

- Annual company trip, all expenses paid.

- Loaned MacBook Pro (Provided)

Why Work for Very

You are more than your job title. At Very, we prioritize talent development and professional growth with a human-first approach that caters to the unique goals each individual brings to the team. 

Our core value, Invest in Our People, looks like collaborating with a cohort of talented people on a mission to get better every single day. It feels like working for a company that invests in you. And it means finding alignment with your career goals to get you where you want to be.

How do we bring our priorities to life? Of course we offer the typical world-class perks you would expect. Additionally, as a remote-first company (since 2011), we provide stipends for home office, telephone, and internet. Professional development funds and generous parental leave are also some of the benefits you can expect.

But a healthy company culture isn't just about perks. It's about creating an environment where our employees can thrive. Our work is fueled by smart, creative people whose lives are enriched by our experiences together. We learn together, we grow together, and we play together. Despite working across more than half a dozen countries, our teams connect regularly for work and for fun - on Slack, Zoom, and during an annual retreat. We’ve been remote-first from the beginning, so we know well what it takes to maintain a strong culture.  #LI-Remote

IMPORTANT: 

1. This job is to work for a US company. An advanced level of English is a must. Please refrain from applying if this is not your case. 

2. We currently don't offer work visa sponsorship. Do not apply if you require it to stay in Canada.

3. This job is remote but if you’re located in the province of Quebec, we cannot accept your application at this time. This is due to Quebec’s labor laws.

4. The region/country on the post's title is not related to the location of the clients we serve. It's a reference to the residence location of the applicant. All of Very's clients are North America-based.

5. Delivery team members may be required to travel up to 10% of the time. As a client services organization, this is expected.

Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another.  No contractors or agencies. Seriously. #LI-Remote

The JaneX team is excited to be building Jane’s first-ever AI-focused team to make Jane smarter, improving our Clinical Charting, Billing, and/or other key parts of Jane to help Practitioners and Clinic owners do their jobs faster and more effectively. The members of this team are entrepreneurs who love to invent and forge new paths. We’ll be breaking new ground, using new technologies, and unlocking new capabilities that will give Jane a competitive edge. We need this team to operate like a startup, driving towards an ambitious goal of getting to general availability (GA) within a year. 

Due to the nature of this team, you will have very few big Dev Org constraints on how you work, but you will have the challenges of delivering at a seed round startup pace. It’s going to be incredibly fun, with lots of learning, and a bit of a sink-or-swim feeling. You’ll get to leverage new technologies and innovations to deliver value in a new way at a fast pace. If you’re in a stage of life where you’re overtime is not realistic for you, you may not find this team the right fit. If you’re eager to push yourself and try and achieve something truly incredible in a year, this may be the one for you.

As a member of this team, you will drive innovative solutions from zero code to production. You would be delivering this brand new functionality, leveraging technologies like OpenAI to solve new business problems and give Jane a competitive edge to Help More Helpers.

Like with all positions at Jane, this position is a remote position, allowing you to work anywhere you want across Canada. Building a delighted team who can delight our customers is part of Jane’s DNA. In our most recent company-wide health check, 99% of our team agreed that our founders demonstrate people are important to Jane’s success. On top of that, 98% of our team felt Manager cares about them as human beings and that they are supported when needing to arrange time off from work. We’d never claim to be perfect, but we’re working hard to listen to our people and improve each day.

We really want the people who work at Jane to love being here, so it's important that we start with a bit about what makes our company unique and try to be as transparent as possible. Our values also provide some insights into Jane and hopefully, you’ll have a better idea if this might be the kind of company you want to be part of.

Before we were Jane, our Co-Founders were solving problems for their own clinics not realizing that a few years later, this team would grow to support tens of thousands of healthcare practices in more than 60 countries. Our platform is now helping to modernize the world of practice management software. We enable the likes of physiotherapists, mental health counsellors, chiropractors, and other allied health practitioners to run their practices in a digital-first way through features such as online booking, charting, scheduling, telehealth, and billing along with an evolving library of features. You can see more of them here. Although we’ve grown, still to this day, we’re rooted in solving clinics’ problems and making sure we don’t lose sight of Jane’s vision.

We have remained profitable for the past seven years, we’re product-led and growing organically (and responsibly) to the point where 85% of our customer growth is either from customer referrals or word of mouth. Growth like this is unique, especially in the world of SaaS, and it doesn’t happen by chance. We have a brilliant team of over 400 Janers who are doing an amazing job of listening to our customers, building what they need, and providing industry-leading support.

We pride ourselves on flexibility & autonomy, some of our team block out their calendars to pick up their children from school (and this is normal at Jane), and we even have a #kids channel in Slack. We’re not a clock-in clock-out system-type environment. With that being said, we’re not going to paint the picture of a perfect environment either. We’re a company that’s scaling quickly, we have many moving parts, many of us are doing this for the first time and sometimes, we don’t have processes in place or clear views which can require a lot of resourcefulness and a passion for problem-solving.

With all that to say, if you’re looking for an environment where you can grow, stretch yourself, and work with some incredibly talented people on problems that are positively impacting people's lives, Jane could be the place for you.

So what’s happening in 2023? We’re iterating on our existing product to make our customers more successful and we’re working on some complex technical challenges with the goal of operating with a world-class cadence for building and deploying products. From decoupling complex parts of Jane, increasing the predictability of our roadmap, and creating a greater flow for maximum effectiveness of teams. To provide some context into our growth, in 2022, we processed over 93 million patient appointments, and our scheduling application alone receives on average, 740 million API calls per week. This is up from 250 million per week in 2021!

Of course, it's not all about the numbers, but this puts into perspective the scale of Jane, from the thousands of practitioners whose lives are made easier each day to the millions of patients receiving treatment. If you’re the type of person excited by this growth, we’d love to speak with you. 

What you'll be doing:

• Demonstrating your passion for 0 to 1 endeavors, embodying an entrepreneurial spirit. You thrive on the opportunity to build products from the ground up. With multiple experiences in your career, you can speak to the valuable lessons and challenges you've faced along the way. Embracing pressure and challenges is where you truly excel.
• Showcasing a strong track record of successfully shipping features, embracing experimentation, learning quickly from failures, and relentlessly iterating. Your unwavering determination drives the iterative cycle forward.
• Leveraging your wealth of experiences to make critical technical decisions for the team, continuously learning and fostering the growth of both your team and the wider Jane organization.
• Acting as a champion for our customers' use cases, ensuring that your team addresses real-world problems with a strong focus on prioritizing safety and security during implementation.
• Possessing a deep understanding of tooling and best practices related to code testability and maintainability. You utilize this knowledge to deliver production solutions that meet high-quality standards.
• Demonstrating comprehensive knowledge and a mindset geared towards effective operations. You empower the team to effectively monitor and maintain their infrastructure in production, prioritizing observability, traceability, and reliability at the service layer.
• Exhibiting a deep understanding of Large Language models, the use of AI, and leveraging cloud tools like OpenAI to enhance the intelligence of our product.
• Showcasing a proven track record in creating and maintaining highly performant services. You excel in performance profiling and tuning using languages such as Java (Scala, Kotlin), Python, Go, or Rust.
• Bringing expertise in cloud architecture (e.g., AWS, GCP, Azure), containerization (e.g., Docker, Kubernetes), and some experience with Infrastructure as Code (e.g., Terraform or Helm).
• Applying architectural patterns and design patterns effectively within and across services, with a focus on clean architecture and coding practices.
• Demonstrating the ability to clearly communicate technical details, both verbally and in written form.

• You have been a CTO, founder CEO, or Dev Manager working on a very scrappy 0-to-1 product development, taking an idea through to release.
• You are a hands-on leader, still jumping in and coding, but also have a lot of experience guiding and inspiring a team to release new products.
• Proven track record writing greenfield code with new technologies and getting it across the line to general release and adoption. You have done this both as an IC and as a leader.
• Experience scaling systems both vertically and horizontally using a metrics-based approach to decision-making
• Proven track record leading teams in AI, ML, or Language based technologies. You’ve delivered at least one or more projects in this space to production.
• Proven track record in leading teams working on highly performant services.
• Lead teams using that owned their own cloud architecture (e.g. AWS, GCP, Azure), containerization (e.g. Docker, Kubernetes) and some infrastructure as code (e.g. Terraform or Helm) experience.
• Deep knowledge of architectural patterns and design patterns in and across services.
• Effective spoken and written communicator, able to convey complex technical topics to executive leaders and to help your technical teams understand customer requirements and impact.

• If you do not meet these requirements, we still encourage you to apply.
• Experience exposing services to third-party integrators
• Advanced ML professional expertise
• Strong understanding of using cloud based AI and ML tooling to accelerate time to production.

• Our hiring process consists of a 45-minute Zoom call with our recruiter, where they will discuss your background, motivations, and provide information about the role, Jane, compensation, and benefits.
• Next, there will be a 1-hour interview with the hiring manager, delving deeper into your experience and motivations, with questions across People, Process and Technology.
• Following that, there will be three one hour interviews delving deeper into the People, Process and Technical pillars, as well as project, customer, and values.
• Afterward, our team will hold a debriefing session to discuss their feedback. To mitigate bias, feedback is not discussed among team members until this meeting.
• Throughout the process, your recruiter will provide regular check-ins, updates, and feedback. Assuming all goes well, we will then proceed to the offer and reference check stage. If we decide to keep in touch in the future, you'll be provided with detailed feedback as to why.

• The ability to work from anywhere in Canada. We also have some flexibility to occasionally work outside of Canada.
• An equitable approach to compensation means compensating you for the positive impact you have on our customers, product, and people.
• Jane’s Employee Stock Option Plan. Jane is privately owned, growing very fast and operating profitably. Profitable hyper-growth rarely happens at our scale. When it does, it creates value quickly (it already has for many of our team members).
• A flexible time off package that includes your vacation time, holiday gifted time off for everyone at Jane, and your birthday off (because who wants to work on their birthday?)
• Jane provides extended health care benefits to you and your dependents starting on your very first day. You’ll receive $750 per individual Allied Health discipline along with $2,000 in coverage for Registered Clinical Counsellors, Psychotherapists, Psychologists, and Social Workers.
• A yearly $500 wellness spending account to use towards maintaining your health and wellness in whatever way works best for you.
• A one-time $500 CAD total work from home stipend for a desk and/or a chair (i.e., you can spend the entire amount on a desk or just a chair, or split the $500 how you’d like between the two).
• Parental top-up that allows Janers to plan for the future.
• Access to eCounselling, primary care, legal and financial counselling, and career coaching.

At Jane, we’re committed to fostering an environment that allows you to come to work as your truest self. We believe it’s important to actively recognize, embrace, and celebrate our differences in order to make Jane an inclusive, equitable, and diverse workplace.

We want to build a team of people who make conversations rich with perspective and experience. We are committed to listening to every voice in order to learn and grow because doing this will allow us to meet the needs of the diverse community of helpers that Jane serves.

We do not tolerate discrimination, prejudice, or oppressive isms of any kind. Employment is decided on the basis of qualifications, merit, experience, and the needs of the Jane community. We encourage anyone who requires accommodation or adjustments throughout the interview process to let us know, and we will do our best to support you.

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.

Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.

Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.

Want to become a key part of the Generative AI revolution? We should talk.

Netomi is seeking a highly analytical and detail-oriented manager to join the Analytics team. As part of the team, you will work with product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and, thereby contributing to improve the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data.

We are looking for a Manager with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the feature development for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with teams.

Job Responsibilities:

• Planning, design and execution of SOA backend platforms. Mostly around REST based Web
• Build frameworks using JAVA (Spark,Spring, ORM)
• High level and Low level design of the highly scalable components
• Track defects and works with business owners and users to triage bugs and manage a backlog
• Taking care of Nonfunctional requirements like Scale/ High Availability/Performance/Security
• Build/Deployments/DevOps-related work on AWS
• Works collaboratively in a multi-disciplinary team environment; establishes and maintains professional networks with subject matter experts
• Be the key technical advisor to define the roadmap of project
• Lead teams of talented engineers and coach them to their full potential.
• As you will be managing the analytics team, you are required to manage the dynamics of the requirements, prioritization, and deliveries
• Give growth charter to the team members and conduct 1-1 / feedback/appraisal
• Lead by example in software development best practices, agile development, and cross-team collaboration.
• Bring in and influence engineering optimizations
• Work with Product Managers and partners to define business roadmaps.
• Work with architects and fellow engineers to define technical architectures and execution plans.
• Execute business and technology roadmaps by collaborating with other engineering teams.
• Be accountable for the outcomes, measured by appropriate metrics
• Drive product vision and strategy

• 7+ years’ Experience preferred.B.Tech/M.Tech in Computer Science or related fields.
• 3+ years of people management experience.
• 2+ years of recent Frontend Web and back-end development experience.
• Extensive experience running teams in an agile environment.
• Deep experience with the full software development life cycle.
• AWS, Kafka, AWS Kinesis, and MWAA experience desirable
• Proficient with mainstream backend technologies such as Java, Spring boot, RDBMS, NoSQL
• Strong experience with AWS cloud technologies.
• Strong Analytical skills – can ask the right questions, analyze data, concludes by making appropriate assumptions
• Organization skills – demonstrated ability to work independently to make complex investigations
• Working experience on asynchronous messaging systems like Kafka.
• Strong ability in architectural design and discussion.
• Proven ability to manage multiple, competing for priorities simultaneously.
• Excellent communication skills to convey technical insights to a non-technical audience 

• Proficiency in SQL and Advanced Excel (Array and Statistical formulas)
• Prior data mining, DW / BI experience
• Knowledge of BI & statistical tools such as Power BI, SQL & ETL DW concepts
• Automate the report generation process through the use of BI tools and programming techniques: such as SQL, DW concepts
• Good knowledge of  R, and ML modeling
• Understanding visualization tools such as PowerBI, Tableau, Datazen, and SSRS is a plus
• Experience with modern Data warehousing solutions such as AWS Redshift, Snowflake, GCP BigQuery

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

About Us

Overbond is a developer of artificial intelligence (AI)-driven real-time data streams for bond trading automation. Overbond offers the most advanced bond trading data streams and execution management system (EMS) in the market. The Overbond data streams and analytics can be integrated into the systems and workflow of any and every fixed income trading desk in the world.

Overbond helps fixed income trading desks overcome the lack of a complete and centralized pricing and transaction data source for the bond markets, execute more client trades, increase the profitably of the trades that are executed, conduct pre-trade and post-trade analyses, monitor prices and risk and prepare reports.

The company serves trading desks in the Americas, Europe and Asia.  Overbond is headquartered in Toronto and operates a lab in Montreal that engages academics and post-graduate researchers to conduct advanced research and development in quantitative finance and AI modelling.

The Opportunity

This exciting new role is available as part of the Overbond product team expansion. We are seeking interns passionate about data science who are excited about utilizing latest statistical, machine learning, and predictive analytics techniques to transform unstructured data to creative solutions that will have direct impact on the business of our clients.

What You'll Do

• Collect, analyze and visualize colossal datasets using a variety of emerging technologies to help solidify our understanding of users and improve product decision-making
• Assist in design, build and maintain an expanding set of robust predictive models and applications to drive forecast accuracy
• Contribute towards data science initiatives to recommend actionable business insights using big data analytics and machine learning techniques
• Leverage distributed and open-source computing tools for recommendations, classification, regression, and feature extraction, from logistic regression to matrix factorization, to deep learning neural networks
• Prepare detailed documentation to specify data sources, models and algorithms used and developed
• Collaborate with the engineering team to deploy models and algorithms in production
• Effectively communicate data insights in a non-technical manner to key stakeholders and senior management team

• Currently completing Bachelors or Masters degree in relevant disciplines (Mathematics, Computer Science, Statistics or other quantitative related discipline)
• Some experience in data mining, machine learning and statistical modeling
• Solid knowledge in regression, time series analysis, tree methods, neural network, sampling
• Proven track record of building and demonstrating business value from predictive models and data products
• Highly proficient in building statistical and algorithmic models with complex and large data sets such as supervised statistical learning, times-series analysis, regression analysis, data visualization and deep learning
• Capability to architect highly scalable distributed systems, using different open source tools
• Coding experience in SQL or Python or R
• Experience with AWS Kinesis, DynamoDB, Lambda, Redshift, Glue, Athena and Airflow
• An entrepreneurial mindset, likes working in an agile environment, driven to ship frequently
• Excellent communication and interpersonal skills
• Team-oriented, pragmatic, self-starting
• Likes to learn and grow with teammates in a highly collaborative and open environment
• Understanding of, or interest in, finance and investments

• Opportunity to work on a real product with very demanding paying enterprise clients
• Learning and self-development opportunities through online courses and knowledge sharing lecture sessions.
• Extended health coverage (Dental, Vision, Drug plan and other medical services)
• Life Insurance and AD&D coverage
• Paid vacation days, sick days, personal/ emergency days and extended long weekends.
• Monthly team lunches and social events (hosted virtually in light of Covid restrictions)

Successful candidate(s) will have a truly exciting opportunity to be part of the industry leading financial technology company changing the way how global investment banks, institutional investors, corporations and governments access the capital markets. The candidate will work with top notch industry professionals and will be given ample amount of opportunities to learn and contribute.

Overbond is committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We welcome applications from: women, Aboriginal persons, persons with disabilities, ethnic minorities, visible minorities, people who identify as LGBT and others who may contribute to diversification in our workplace.

As part of our commitment to accessibility for all persons with disabilities, Overbond will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities.

About KOHO

KOHO’s purpose is to empower Canadians to build a great financial foundation with products that are radically transparent and easy to manage. We first launched in 2017, and we have since built a community of over 1 million users. Leading investors around the globe believe in our vision, and we’ve successfully raised over $320M to make our vision a reality.

The KOHO collective has grown to 250 employees to date. Discover our culture here and get the inside scoop from our team here!

About the Role

We’re looking for a Manager of Data Science to join our team for a role to work remotely based in Canada. 

Reporting to Head of Data, you will be leading the charge for Data Science at KOHO. If this sounds exciting (which it very much is), then keep reading!

What You’ll Be Doing

• Reporting directly to the Head of Data, you will be managing a team of data scientists who work across multiple domains of the organization. 
• You will understand the data-driven decision making needs of a high-growth organization and be focused on concrete outcomes and driving KPIs. 
• You will exemplify people-centric leadership and have a strong focus on the continued growth of team members. 
• You will operate both at a tactical and strategic level, owning day-to-day execution and long-term planning.
• You look for the highest leverage solution to the most important problems, through either pragmatic analysis, a predictive model, or unsupervised learning methods.

• You have 5+ years of experience working with data and engineering teams
• 2+ years of management experience in the data domain managing and guiding high performance teams
• You have expert knowledge of Python and SQL
• You are passionate about applying data science in financial services, with ideas on how and where to improve customer’s financial lives
• You have experience developing models, deploying them in a production environment, and integrating them into SaaS infrastructure

What's In It For You?

We invest time and resources into making sure KOHO is as good as the people we hire. Here are some of the reasons we attract the best people:

• 🧘‍♂️ Balance Your Life - Company-wide Summer wellness days, Winter holiday closure, unlimited Personal Days, a wellness spending account, and maternity & parental leave top-up

• 💻 Remote First - Work from anywhere in Canada with a budget to set up your home office

• 🆙 Level Up - Access to 3 in-house certified performance coaches and an annual training budget

• 🥅 Reach Your Goals - Salary assessments twice per year

• 🙌 The KOHO Culture - We have won 7 "Great Place to Work ®" awards since 2019

• 🤝 Be an Owner - Every KOHO employee gets a generous amount of equity with a 10 year exercise window

The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact peopleaccessibility@koho.ca and the People and Culture team will be happy to help.

#LI-Remote #LI-DP1

About Us

Overbond is a developer of artificial intelligence (AI)-driven real-time data streams for bond trading automation. Overbond offers the most advanced bond trading data streams and execution management system (EMS) in the market. The Overbond data streams and analytics can be integrated into the systems and workflow of any and every fixed income trading desk in the world.

Overbond helps fixed income trading desks overcome the lack of a complete and centralized pricing and transaction data source for the bond markets, execute more client trades, increase the profitably of the trades that are executed, conduct pre-trade and post-trade analyses, monitor prices and risk and prepare reports.

The company serves trading desks in the Americas, Europe and Asia.  Overbond is headquartered in Toronto and operates a lab in Montreal that engages academics and post-graduate researchers to conduct advanced research and development in quantitative finance and AI modelling.

The Opportunity

This exciting new role is available as part of the Overbond product team expansion. The position is a unique opportunity to build creative solutions for complex problems using cutting edge technology. As an expert in data science, you will be in charge of the architecture, integration and analysis of large data sets used for developing machine learning models and generating business insights. We are seeking experienced data scientists who are excited about utilizing latest statistical, machine learning, and predictive analytics techniques to transform unstructured data to creative solutions that will have direct impact on the business of our clients.

What You'll Do

• Collect, analyze and visualize colossal datasets using a variety of emerging technologies to help solidify our understanding of users and improve product decision-making
• Assist in design, build and maintain an expanding set of robust predictive models and applications to drive forecast accuracy
• Contribute towards data science initiatives to recommend actionable business insights using big data analytics and machine learning techniques
• Leverage distributed and open-source computing tools for recommendations, classification, regression, and feature extraction, from logistic regression to matrix factorization, to deep learning neural networks
• Prepare detailed documentation to specify data sources, models and algorithms used and developed
• Collaborate with the engineering team to deploy models and algorithms in production
• Effectively communicate data insights in a non-technical manner to key stakeholders and senior management team

• Bachelors or Masters degree in relevant disciplines (Mathematics, Computer Science, Statistics or other quantitative related discipline)
• 1 - 2 years of experience in data mining, machine learning and statistical modeling
• Solid knowledge in regression, time series analysis, tree methods, neural network, sampling
• Proven track record of building and demonstrating business value from predictive models and data products
• Highly proficient in building statistical and algorithmic models with complex and large data sets such as supervised statistical learning, times-series analysis, regression analysis, data visualization and deep learning
• Capability to architect highly scalable distributed systems, using different open source tools
• Coding experience in SQL or Python or R
• Experience with AWS Kinesis, DynamoDB, Lambda, Redshift, Glue, Athena and Airflow
• Familiarity with Overbond product suite: Bond Trading Automation, Liquidity Scoring, Bond real-time pricing, Fixed Income ETF basket pricing, Transaction Cost Analysis (TCA), Margin Optimization and Issuance Propensity models
• An entrepreneurial mindset, likes working in an agile environment, driven to ship frequently
• Excellent communication and interpersonal skills
• Team-oriented, pragmatic, self-starting
• Likes to learn and grow with teammates in a highly collaborative and open environment
• Understanding of, or interest in, finance and investments

• Opportunity to work on a real product with very demanding paying enterprise clients
• Learning and self-development opportunities through online courses and knowledge sharing lecture sessions.
• Extended health coverage (Dental, Vision, Drug plan and other medical services)
• Life Insurance and AD&D coverage
• Paid vacation days, sick days, personal/ emergency days and extended long weekends.
• Monthly team lunches and social events (hosted virtually in light of Covid restrictions)

Successful candidate(s) will have a truly exciting opportunity to be part of the industry leading financial technology company changing the way how global investment banks, institutional investors, corporations and governments access the capital markets. The candidate will work with top notch industry professionals and will be given ample amount of opportunities to learn and contribute.

Overbond is committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We welcome applications from: women, Aboriginal persons, persons with disabilities, ethnic minorities, visible minorities, people who identify as LGBT and others who may contribute to diversification in our workplace.

As part of our commitment to accessibility for all persons with disabilities, Overbond will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities.

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.

We are searching for a talented Data Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.

Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/

Learn more about our team culture here: https://www.stackadapt.com/careers/data-science 

Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt is a Remote First company, and we are open to candidates located anywhere in Canada for this position.

What you'll be doing:

• Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods
• Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
• Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights

• Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
• Have the ability to take an ambiguously defined task, and break it down into actionable steps
• Have a comprehensive understanding of statistics, optimization and machine learning
• Are proficient in coding, data structures, and algorithms
• Enjoy working in a friendly, collaborative environment with others

• Competitive salary + equity
• RRSP matching
• 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
• Access to a comprehensive mental health care platform
• Full benefits from day one of employment
• Work from home reimbursements
• Optional global WeWork membership for those who want a change from their home office
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, etc)
• Access to StackAdapt programmatic courses and certifications to support continuous learning
• Mentorship opportunities with industry leaders
• An awesome parental leave policy
• A friendly, welcoming, and supportive culture
• Our social and team events!

#LI-KR1

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

About StackAdapt

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:

2023 Best Workplaces for Women by Great Place to Work®

Top 20 on Ad Age's Best Places to Work 2023

Campaign’s Best Places to Work 2023 for the UK

2023 Best Workplaces in Canada by Great Place to Work®

#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising.

G2 Top Software and Top Marketing and Advertising Product for 2023

#LI-Remote