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ABOUT ODAIA

ODAIA nouno·da·ia | \ 'oh-day-yeah \

An Ancient Greek word referring to a salesperson’s “tools of the trade.”

Learn more about our company here. You can also find more information about the company and our products at odaia.ai.

ODAIA is a remote first organization, all our positions are WFH. 

ODAIA helps pharma sales and marketing teams by using AI to understand and predict customer behaviour. Our enterprise SaaS product MAPTUAL serves some of the most recognized Fortune 500 life sciences companies. By incorporating data and AI predictions in powerful ways, MAPTUAL’s users understand their customers (healthcare professionals, patients) on a deeper level and cater to their health needs more effectively. 

ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.

OUR MISSION

Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. 

We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.

WHAT’S ON OFFER

This is an excellent opportunity to join a rapidly growing team in a technically challenging and rewarding role! Reporting to the Machine Learning Data Scientist Development Manager, the Machine Learning Engineer - LLM is experienced and passionate about building creative and novel AI solutions. Working collaboratively with other feature teams and cross-functionally throughout the development process, the Machine Learning Engineer - LLM ensures the product is functionally complete and technically solid.

WHAT YOU WILL DO

• Drive the development and integration of Large Language Models (LLM) into our major products, Maptual Field & Maptual Sphere, to supercharge the company's engineering team
• Collaborate with the cross-functional team to identify and implement Natural Language
• Processing (NLP) and LLM solutions that can solve complex problems and deliver innovative outcomes
• Translate complex LLM and NLP concepts into easy-to-understand language for nontechnical stakeholders, ensuring the broad understanding and adoption of our AI solutions
• Display creativity and self-startership to navigate new frontiers in the pharma space, driving innovation with Large Language Models and Transformer architectures
• Use your Python wizardry to build robust, efficient, and maintainable LLM-powered applications, taking projects from inception to completion
•  Balance your technical expertise with exceptional communication skills to ensure all stakeholders understand and appreciate the value and impact of LLM solutions.

• 3+ years of experience working in a role related to Natural Language Processing, with a focus on the development and implementation of Large Language Models.
• Expertise in Python, with an ability to write efficient, clean, and maintainable code for large-scale applications. 
•  Deep understanding of the latest research and technologies in Natural Language Processing and Transformer models, and how to apply these in a practical, businessoriented manner. 
• Full-stack development ability, with experience in building and deploying LLM-powered applications
• Exceptional communication skills with an ability to articulate complex technical concepts to a less technically inclined audience, with a focus on demonstrating the business value and impact of AI solutions
•  Creativity and a self-starting attitude, with a desire to drive innovation in the pharma space using AI and LLM solutions
•  A deep desire to work in a diverse and inclusive team environment, understanding the importance of collaboration, respect, and trust

• A highly productive driven startup culture that values agility, passion, ownership, trust, respect, diversity and inclusion
• Tremendous growth and unique learning opportunities
• You will be part of a small team, with a large amount of ownership and autonomy for managing things directly
• Endless learning opportunities
• An inclusive environment, we are an equal opportunities employer and we operate with an anti-oppression mindset
• Top-notch health benefits for medical, dental, vision care, mental health, prescription drug coverage, travel insurance and alternative treatments such as acupuncture and chiropractic services
• Flexible working hours, providing great balance for personal and family life
• We focus on what we achieve and not the number of hours we clock
• We trust our employees and empower them to shape their work themselves so that they can achieve the best possible results
• An open and flexible vacation policy
• Our employees can take what they want, when they want it - as long as they get their work done, get the time approved and get things covered while they're away
• Stock option grants
• A generous home office allowance
• Career development opportunities, and a solid business model - we’re in it for the long haul!

LOCATION

We are a remote-first company based in Toronto with frequent in-person collaborative work sessions and social gatherings at a work-share office in downtown Toronto. We leverage many synchronous and asynchronous communication tools as well as virtual social events, and provide an allowance for your ideal WFH setup. 

EMPLOYMENT VERIFICATION

Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.

ACCOMMODATIONS AND ACCESSIBILITY

Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.

DIVERSITY, EQUITY & INCLUSION

As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.

At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.

We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

CoinFlip is a leading fintech company powered by cryptocurrency. The company operates the world's largest network of cryptocurrency ATMs by transaction volume with over 4,500 kiosks across 49 US states, Puerto Rico, Canada, and Australia supporting the buying and selling of major cryptocurrencies with cash. In 2020, CoinFlip launched Order Desk, an over-the-counter service that provides investors with a personal account manager and competitive coin pricing. In 2023, CoinFlip launched a digital platform called Olliv: the easiest way to buy, sell, send, swap, and receive crypto.

CoinFlip was founded in 2015 by Daniel Polotsky, Kris Dayrit, Alan Gurevich, and Ben Weiss. Headquartered in Chicago, CoinFlip placed in the top 100 on the 2021 and 2022 Inc. 5000 list, and on the 2022 Deloitte Technology Fast 500, was named the 2021 and 2022 #1 fastest-growing company in Chicago by Crain's and was awarded the 2021 and 2022 Stevie ® Awards for Customer Service. For more information about CoinFlip, please visit www.CoinFlip.tech.

We are looking for a Senior Data Scientist with experience in full suite of data science, analytics and ML in a broad spectrum of business functions. As a senior technical member on the Analytics and Data Science team, you will use big data to understand customer behavior and drive decision-making in product development across various crypto products and digital services.

• Actively engage with the line businesses in a cross functional environment, including marketing, finance, operation, customer success, compliance, etc
• Identify opportunities and formulate data science / machine learning projects to optimize for revenue, acquisition, engagement, retention, customer satisfaction and minimize potential compliance risk exposures
• Assist in building ML models and MLOps with modern tech stack in the full ML Lifecyle, including GitLab, AWS, Sagemaker, Redshift, EC2, EMR and Dbt to develop and deploy online/offline ML products
• Serve as a subject matter expert in data science and analytics and research and adopt the new tooling and methodologies in the crypto space
• Other duties as assigned

• Data driven mindset with a graduate degree in Computer Science, Data Science, AI/ML, Mathematics/Statistics, Engineering, or an equivalent technical field.  
• 4+ years of relevant experience in software development, data science, or data analytics.  
• 2+ years of relevant experience in product analytics centered around customer behavior and digital product adoption and risk management, compliance analytics would be highly valued.  
• Experience with experimental design, A/B testing, statistical inference/causal analysis is highly preferred.   
• Deep understanding of predictive modeling process from data exploration, methodology (statistical models, unsupervised and supervised ML models) to model validation, deployment and performance monitoring.  
• Professional experience with a programming language such as Python or R, and advanced SQL, Excel, and visualization tools such as Tableau/Looker.  
• Experience with data science modeling toolsets such as Pandas, TensorFlow, PyTorch, Scikit-learn.  
• Demonstrated leadership in complex areas, through critical thinking, thought leadership, effective communication, and relentless drive for progress.  
• Ability to work both independently and in a collaborative and dynamic team environment.  
• Comfort handling ambiguity and managing multiple assignments.  

• Build cloud-based ML infrastructure with minimal support and scale with business need, either in AWS, GCP or Azure.  
• While not a hard requirement, experience with crypto based products and services is a plus.  
• Experience working for a rapidly growing startup, and managing change  

Working at CoinFlip means collaborating with experienced and innovative leaders who share a clear vision and a track record of success. We offer a collaborative and positive working environment where we encourage employees to balance productivity with time to recharge. Compensation is above and beyond a typical “startup” — we offer competitive salaries, performance-based incentives, and competitive benefits for full-time employees.

CoinFlip values diversity in the workplace and is an equal opportunity employer committed to providing an inclusive and accessible work environment. We thank all candidates who apply, but only those selected for an interview will be contacted. 

By applying to this role, you give express consent to CoinFlip to send you informational text (SMS) messages regarding this role and the application process. You can cancel the SMS service at any time by replying "STOP" to the text message you received. If at any time you forget what keywords are supported, just reply "HELP." Message and data rates apply. If you require a special accommodation, please let us know and we’ll work with you to meet your needs.

About us

Grid is a venture-backed technology startup democratizing financial services for hard-working Americans. We're starting by giving back the money you overpay in taxes today, not next year. Use that extra cash to save for a home upgrade, make the holidays a little brighter, or just give yourself a treat. Grid has already helped thousands of people get a little closer to their dreams. And we're just getting started.

The role

We are looking for a highly-motivated and curious Data Scientist to help solve critical business problems at Grid.  In this role, you will use analytical, statistical, and programming skills to collect and interpret large datasets and develop and deploy data-driven business solutions.  Specifically, you will be responsible for identifying and preventing fraudulent behavior across our suite of FinTech products, and working closely with Product, Engineering, and Risk to build and implement fraud prevention strategies.

What you will be doing

• Quantify, generalize and monitor risk-related business and operational metrics
• Autonomous end-to-end statistical model creation, including but not limited to identifying objectives, compiling data, sampling/prepping data, feature selection, model comparison/selection, deployment, and monitoring
• Partner with cross-functional stakeholders to enhance model implementation processes and translate requirements into integrated forecasting process/tools for effective consumption
• Build and maintain fraud features, rules, and models in response to evolving fraud behaviors
• Define risk control measurements
• Present findings to Leadership and make recommendations to strengthen business risk decisions

• BA degree in Analytics, Statistics, Mathematics, or a related quantitative field
• 3+ years of professional experience in a data science or data engineering role or a PhD in a relevant field
• Knowledge and experience in modeling techniques and advanced applied skills (e.g. logistic regression, multivariate regression, Random Forest, Boosting, Trees, text analysis, etc.) as
• Fluency in the data science tech stack, including Python (pandas, numpy, scipy, matplotlib, scikit-learn) for data science/machine learning, analytics/visualization/BI tools, and SQL
• Experience with data engineering concepts, ETL pipelines, and working with the Google Cloud Platform
• Outstanding quantitative modeling and statistical analysis skills

• Advanced degree in any field relevant to Data Science
• Previous experience in FinTech and/or fraud and risk analysis.

We are seeking a highly skilled and experienced Lead Data Scientist to join our growing Data Analytics team. This person must have a strong background in data analysis and be able to effectively communicate complex analytical findings to both technical and non-technical audiences, focusing on our highly profitable Search Engine Monetization business. This role requires a strong background in exploratory data analytics, statistics, data modeling as well as excellent communication and leadership skills.

The Role You Will Have

• Serve as a subject matter expert to both the Analytics team and business leaders, providing sound & data-driven strategies that help meet or exceed business goals 
• Develop and create  models in production (classification, clustering, learning models, multivariate  regression, time series, k-means, etc.)  to identify the best business solution
• Use Python and packages like Pandas, NumPy, etc., to perform complex statistical analysis on results, and utilize APIs for data ingestion 
• Use SQL to self-serve data from disparate sources & manipulate multiple large data sets simultaneously for analysis 
• Perform complex exploratory analysis on historical search engine marketing campaign data  -  including keyword performance, ad spend, and conversions - and identify opportunities for new expansion  & data acquisition
• Collaborate with teams in Taxonomy & Performance Marketing to proactively identify keyword trends & develop data-driven optimization strategies
• Use tools like Tableau, Looker, or PowerBI to visualize results and present directly to business leaders
• Provide mentorship & training to junior analysts and new hires, and evangelize ways to implement better data-driven practices throughout the organization
• Stay up-to-date with industry trends and best practices in search engine marketing and data analysis

• Bachelor's or Master's degree in a related field (e.g. Computer Science, Statistics, Applied Mathematics,  Data Science)
• 7+ years of progressive experience in data analysis/data science and handling of large data sets 
• Strong experience with mathematical optimization methods, exploratory data analysis,  predictive modeling and machine learning techniques
• Advanced proficiency in SQL 
• Strong proficiency in Python & its data science packages (Pandas, NumPy, MatPlotLib, Seaborn, etc.)
• Familiarity with digital marketing KPIs including CPA, CPC, CPM and ROAS

• Experience with big data technologies (e.g. AWS, Snowflake, Hadoop, Spark, BigQuery)
• Experience with data visualization tools (e.g. Tableau, Power BI), as well as surfacing insights with interactive notebooks (e.g Jupyter, Google Colab)
• Familiarity with pulling data from third party API’s and basic ETL processing
• Excellent communication, and experience in providing leadership within your team (code-review or pair-programming, interviewing & onboarding new hires, etc.)

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• 100% covered Medical, Dental, Vision for employees
• 401k with match
• Health & Dependent Care Flex Spending Account 
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events 
• #BI-Hybrid
• #BI-Remote
• #LI-Remote
• #LI-Hybrid

On our path to becoming the world’s favorite way to shop, we’re assembling an unparalleled global talent network, accelerating individual careers, and disrupting entire industries. We are on a mission to liberate humanity from all the meaningless time spent managing their purchases and finances, so they can do more of what they love. We’re in search of global talent eager to embrace our atmosphere and defy their own expectations.

The Senior Analyst in the Comms & Strategy Group will play a crucial role in enhancing Klarna's global narrative, ensuring it is well-known, understood, and trusted among various external stakeholders. The successful candidate will leverage their analytic skills to support our communications and policy teams, produce compelling insights using external and internal data to enhance our narrative, explore applications of AI to increase productivity , and drive group-level analysis for business planning and cost/supplier analysis.

Who are we looking for?

We're looking for someone who is genuinely curious and passionate about communications and public affairs. The ideal candidate loves to tell stories with data and is always looking for innovative ways to communicate insights. In particular they are skilled at explaining data and its implications in a super digestible way to a majority non-analytical audience. They are a problem solver who will take a task and explore a variety of ways to deliver it in the most optimal manner, using their own initiative and ideas to deliver on our goals. They don’t wait to be asked, they are proactive, delivery focused and optimistic. 

Key Responsibilities

• Produce insightful analysis to drive our Public Affairs efforts while producing insights to help land our messaging locally through usage & demographic insights.
• Produce insightful analysis to drive our global communications efforts by analyzing external data in the news, as well as finding supporting data that bolsters Klarna’s mission of being on the customer’s side.
• Explore, propose and build ways Artificial Intelligence can be used to enhance the group’s ways of working & boost productivity across all teams.
• Generate insights to inform and educate audiences in order to close perception gaps about Klarna and ensure accurate reporting and understanding of the business.
• Support group-level analysis for business planning, cost analysis, and supplier analysis.
• Present data-driven insights in a clear and engaging manner to a variety of stakeholders internally.

• Accuracy and relevance of analysis reports.
• Impact of AI initiatives either through efficiency savings or unlocked opportunities
• Quality and effectiveness of communication and presentation of insights.
• Contribution to business planning and strategic initiatives.

• Strong analytical skills and a keen eye for detail.
• Has experience and/or a strong interest in the media / political landscape.
• Excellent communication skills, with the ability to carefully present complex & at times sensitive data to a non-analytical audience.
• Familiarity with AI technologies and their application in a business context.
• Proficiency in data analysis tools and software.
• Curiosity and tenacity in problem solving.

Location: Berlin  

Please note that we don't offer relocation assistance for this role.

Interested?

Please send us a CV in English in this application and we will come back to you as soon as possible if we find your profile relevant for the role. 

What we offer:

Diversity & Community

With our diversity of skills, perspectives and backgrounds, we can create, innovate, and disrupt like no other. Diversity is part of who we are, and essential to our success.

Ownership & Impact

Here, every voice matters. We’re organized into hundreds of small teams, each run like a start-up, focused on their own problem-space.

Trust & Collaboration

Successes and failures are won together at Klarna in a melting pot of teams. Win, lose, and learn, we’re on this path together.

If you love what you do, you should love where you do it. We appreciate that everyone’s different and has their own preferences of where and how to work. We genuinely believe in the power of regular face-to-face interactions in building close connections with our teams, but we also strongly believe people can work effectively remotely. This means that combining both is the key to success. 

At Klarna, You can choose between working from the office, hybrid within your employment country, or even outside of it for up to 20 working days per year. Flex it up!  

Challenges & Rewards

We take a very Swedish approach to benefits. Support for parents, health and wellness perks—we’ve got you covered.

About Klarna

Since 2005 Klarna has been on a mission to revolutionize the retail banking industry. With over 150 million global active users and 2 million transactions per day, Klarna is meeting the changing demands of consumers by saving them time and money while helping them be informed and in control. Over 450,000 global retail partners, including H&M, Saks, Sephora, Macys, IKEA, Expedia Group, and Nike have integrated Klarna's innovative technology to deliver a seamless shopping experience online and in-store. Klarna has over 6,000 employees and is active in 45 markets. For more information, visit Klarna.com

It is our commitment that every qualified person will be evaluated according to skills regardless of age, gender, identity, ethnicity, sexual orientation, disability status or religion. Please refrain from including your picture and age with the application.