Top Data Jobs

THE CHALLENGE

Eventbrite is building the global platform for live experience and helping to build new connections between creators and their audience every day. The Eventbrite platform generates a huge amount of data about what creators should do to succeed, about how consumers really make decisions, and about what’s cool in your neighborhood. The Data Science team is charged with converting the massive potential of our data about events and customer preferences into product features that delight our customers and build a foundation of trust in our marketplace.

THE TEAM

The Data Science team partners directly with product development teams to deliver machine learning solutions directly into critical product experiences through offline and real time solutions. Our team members work hand in hand with product development teams such as Personalization, Search and Discovery, and Fraud & Risk Prevention to solve customer problems like finding their next great live experience. The six members of the data science team and their current embedded development teams are all US-based and fully remote with partnership opportunities developing with teams in Spain and India.   

THE ROLE

You will shape how Eventbrite delivers machine learning solutions that are effective, efficient, and durable. You will identify reusable patterns and technology investments that help us move faster and build for scale by setting a high bar for efficient project planning, thoughtful peer feedback, and constructive collaboration. You will be a technical mentor to the Data Science team and a primary contact on machine learning development across all of engineering. In high leverage situations, you will drive individual projects especially in our focus areas: consumer personalization and abuse detection. As part of the Data organization, you will work closely with analysts and data engineers to find the right data and stage it for action. And as a member of the Principal Engineering community, you will have a voice in the technical future of Eventbrite and ensure data science can reach its full potential. 

The Skill set:

•  8+ years of practical machine learning experience including excellent foundational knowledge and depth in at least one specialization like Natural Language Processing, Computer Vision, or similar
• Expertise operationalizing, monitoring, and scaling data processes and models in spanning realtime and offline environments 
• Comfort collaborating with both product and data engineers to deliver solutions with complex requirements
• Demonstrated ability to be a technical lead with strong communication skills and an ability to drive the company’s vision for machine learning

• Advanced knowledge of Spark, Snowpark, Python or the Sagemaker ecosystem 
• Domain expertise in recommender systems or fraud detection
• Active Eventbrite user with a passion for live events

WHAT WE OFFER

We are committed to providing competitive, valuable and meaningful benefits for our Britelings. 

We work hard to cultivate a diverse, equitable and inclusive culture where Britelings feel like they belong. 

Employees can participate in resource groups and we offer programming throughout the year to support a diverse and inclusive workplace.  Read more about our Diversity and Inclusion work for our team, culture, and community.

We offer comprehensive benefits and a wellness package above and beyond standard medical benefits to support our Britelings’ lifestyle.

Eventbrite's global benefit programs are designed to meet you where you are by offering resources and support for your health, well-being, finances, and family. This includes support in a remote/hybrid environment, wellness allowance, Carrot family planning benefit, Origin Financial Planning service, and other offerings to ease the mind and body like Modern Health and BriteBreaks (generally the first Friday of every month off).

ABOUT EVENTBRITE

Eventbrite is a global self-service ticketing, marketing, and experience technology platform that serves a consumers and event creators in nearly 180 countries. Since inception, Eventbrite has been at the center of the experience economy, transforming the way people organize and attend events. With over 280 million tickets distributed for over 5 million total events in 2022, Eventbrite is where people all over the world discover new things to do or new ways to do more of what they love. Learn more at www.eventbrite.com.

IS THIS ROLE NOT AN EXACT FIT?

Sign up to keep in touch and we’ll let you know when we have new positions on our team.

Eventbrite is committed to equality of opportunity for all staff, and applications from all suitably qualified individuals are encouraged, regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. 

#LI-REMOTE

Applicant Privacy Notice

The company + vision.

Everyone’s got the message: machine learning is changing everything. And for Fortune 500 brands in every vertical, it’s actually true — ML predictions are solving billion-dollar, migraine problems. But for smaller brands, the talent and investment needed to build an ML platform are simply out of reach.  

Black Crow is changing that--fast. Founded by a team that has spent the last decade in machine learning, our mission is to help DTC brands turbocharge their growth by delivering bespoke, Fortune 500-grade ML predictions.  It works out of the box, delivered as a service, and costs less than one data scientist. Integration: one click. 

12 months ago, we had one DTC brand using our predictions.  Now we have over 150 — including Solo Stove, SAKARA, Native, Keurig, and Bearaby. There are 50,000 more who haven’t heard of us yet. 

Black Crow AI recently concluded a $25 million Series A led by top investors in the DTC and B2B SaaS sectors, and is well funded for multiple years

The team + culture. 

This is the 3rd company Black Crow’s founders have started together. Both previous companies scaled to >$100MM and were voted ‘Best Places to Work’ in NYC many times.

The founders are building Black Crow to be commercially successful, high growth, and valuable. But that’s insufficient as an end--we’re also building a company that we actually want to work at! That means we are human first--we don’t expect anyone to transform themselves to show up at work. It means working together is a positive force in our lives, not something we tolerate for the paycheck. And it means we see diversity as a strength.

Where you come in:

Black Crow AI is seeking an innovative leader for our top notch data team. We’re looking for someone with an entrepreneurial spirit, who isn’t afraid to get their hands dirty while scaling this rapidly growing business. In addition to mentoring and guiding day-to-day data science and analytics, you’ll be a thought leader & hands-on builder who helps scale innovation across all data and machine learning applications at the company. You’ll leverage your expertise to inform company strategy at the executive level and partner with product managers and engineers to identify new areas of innovation across our product suite and the platform tooling and architecture required to support them.

What you’ll do:

• As a member of the executive team, set the long-term strategy for data at Black Crow AI. You’ll stay on top of the latest in the field & determine where we should take risks and place bets on new ideas.
• Coach, mentor, and grow our team of stellar data scientists and product data analysts.
• Set the vision for and partner with engineering teams to develop our data platform and architecture, from data modeling and business intelligence to real-time machine learning deployment and monitoring.
• Be an integral part of product development, applying best practices in experimentation and other quantitative methods to shape product roadmaps.
• Drive the collection of new data and the refinement of existing data sources.
• Research and develop algorithms and predictive models to solve critical business problems.
• Manage work prioritization by asking the right questions
• Communicate brilliantly and develop strong relationships at all levels, internally and externally

• Proven track record of coaching and developing others, in a leadership or mentoring role
• Insatiable curiosity and love of learning. Ability to go deep and quickly learn new domains
• Enjoy staying on top of cutting edge machine learning research and best practices, and bringing that knowledge to bear in innovative, real-world applications
• Strategic risk-taker with detail-oriented and execution-focused approach. You know what great looks like and when to aim for “good enough.” Self-motivated, flexible, and collaborative - ability to work in a fast-paced, changing environment with Product, Engineering, and other partners. 
• Strong opinions weakly held. You are knowledgeable in your domain and able to move quickly based on that knowledge, but humble enough to change your mind 
• Excellent written and spoken communication; can simplify complex topics into clear and impactful summaries and presentations 
• Self-motivated and flexible - with ability to work in fast paced, changing environment

• 8+ years of relevant experience as a Data Scientist or similar position with extensive experience applying analytical and quantitative approaches to a wide range of data and business problems
• Familiarity with relational databases (SQL/PostgreSQL), as well as operational data tasks (ETL, business intelligence platforms)
• Experience leveraging hypothesis testing and other statistical methods to drive product development
• Strong knowledge of at least one programming language (Python, Java, Scala) and frameworks appropriate for large scale analysis of structured and unstructured data, feature engineering, and model building. 
• Understanding of machine learning algorithms and ML life cycle
• Strong passion for empirical research. Detail-oriented execution-focused approach with good problem-solving and organizational skills.

• Experience with large-scale streaming data
• Familiarity with ecommerce problems
• Deep knowledge of one or more areas of machine learning such as RNNs, recommender systems, graph networks
• Experience with Apache Spark and cloud services like AWS

More about us.

+ Virtual-first and welcome employees from anywhere

+ Unlimited paid time off

+ Fridays are yours - complete flexibility on if or how much you focus on Black Crow each Friday

Love your job.

We love our work and our team. Our machine learning helps ‘flick the lights on’ for companies so they see their customers more clearly and can uncover the true potential of their tools and teams. In turn, we strive to do the same for our people. We’re here to shine light on each other and unlock known (and sometimes unexpected) potential. 

Our vibrant team accomplishes buckets of awesome every day. We also partake in our fair share of daily laughter. Come build the company you’ve always wanted to work for - with inspiring products and a community of passionate people.

Bounce powers a global network of 10,000 local businesses that offer luggage storage, package acceptance, and more. We aim to create the world's largest tech-enabled two-way market platform, seamlessly connecting retail chains and travelers through an intuitive app. Our vision is to serve as the "OS for brick & mortar SMB stores," activating new revenue streams with just a “flip of a switch”.

To achieve this, we're seeking dedicated builders who share our core values: innovative, results-driven, scrappy, visionary, and passionate about building a trailblazing company. Bounce is headquartered in Lisbon, Portugal, with a global presence. We are proudly backed by leading Silicon Valley investors, including Andreessen Horowitz and General Catalyst. Our exceptional team ceaselessly challenges the limits of our achievements. Learn more about Bounce's Series A, spearheaded by a16z, here!

Decisions are at the foundation of every Bounce experience. As a data team member, you will work in a dynamic environment, embracing moving quickly to ensure data is at the heart of Bounce’s products and decision-making.

The focus of this position will be on modeling and pricing, your objective will be to develop data driven strategies to improve the performance of our pricing models and fund opportunities for growth by identifying the optimal places to expand Bounce to new locations. You should have a deep understanding of data analytics and statistical modeling. You will play a critical role in the success of Bounce!

👷🏾‍♀️ What you’ll be doing

• Leveraging and utilizing data to build frameworks and models to improve pricing, expansion strategy, and market analysis
• Partner with product managers, engineers, and operations to translate analytical insights into action
• Establish metrics and build frameworks to monitor model and product performance
• Help develop and maintain our analytics pipelines, from data transformation to implementation of new models
• Advocate for data and data-driven decisions
• Be an owner, taking a personal stake in the success of the product and the team

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering, or relevant work experience
• 5+ years of industry experience in a data science or technical analytics role
• Advanced proficiency in SQL
• Experience with Python/R, Jupyter Notebooks
• Experience building and evaluating production-level models and algorithms
• Some experience with data wrangling preferred (dbt)
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
• Avid learner and practical problem solver
• Professional proficiency in English, written and spoken

• Work at a well-funded and proven startup with large ambitions
• Competitive salary
• Generous equity package
• Private health insurance
• Flexible vacation/time-off policy
• Fun office in the heart of Lisbon - Santos neighborhood!
• An entrepreneurial culture where pushing limits and taking risks is everyday business
• Open communication with management and company leadership
• Small, dynamic teams = massive impact

About Working at Bounce

At Bounce, we're dedicated to fostering an inclusive environment regardless of gender identity, orientation, or expression. Our mission is to eradicate exclusivity and barriers and encourage fresh thinking and perceptions in a space of belonging. We don't define ourselves by race, gender, or age. We are about people. Without our people harnessing their creativity and innovation, we are nothing.

Bounce powers a global network of 10,000 local businesses that offer luggage storage, package acceptance, and more. We aim to create the world's largest tech-enabled two-way market platform, seamlessly connecting retail chains and travelers through an intuitive app. Our vision is to serve as the "OS for brick & mortar SMB stores," activating new revenue streams with just a “flip of a switch”.

To achieve this, we're seeking dedicated builders who share our core values: innovative, results-driven, scrappy, visionary, and passionate about building a trailblazing company. Bounce is headquartered in Lisbon, Portugal, with a global presence. We are proudly backed by leading Silicon Valley investors, including Andreessen Horowitz and General Catalyst. Our exceptional team ceaselessly challenges the limits of our achievements. Learn more about Bounce's Series A, spearheaded by a16z, here!

Decisions are at the foundation of every Bounce experience. As a data team member, you will work in a dynamic environment, embracing moving quickly to ensure data is at the heart of Bounce’s products and decision-making.

The focus of this position will be on optimizing the core luggage experience and key growth levers through experimentation. Understanding user behavior, optimizing sign-ups and conversion are primary goals for the experience team. You'll need to conduct analysis, build dashboards, and work with the product and growth teams to shed light on potential opportunities and help generate new ideas for experiments to drive the product forward. You will play a critical role in the success of Bounce!

👷🏾‍♀️ What you’ll be doing

• Partner with product managers, engineers, and operations to understand their business needs and translate them into analytical insights and dashboards
• Design and analyze experiments; communicate results and act on launch decisions
• Help develop and maintain our analytics pipelines, from data transformation to implementation of dashboards
• Collect new data and conduct analysis to identify growth opportunities
• Deliver segmentation data to the growth team to help optimize marketing channels and SEO
• Advocate for the adoption of self-serving analytics across the company 
• Be an owner, taking a personal stake in the success of the product and the team

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering, or relevant work experience
• 3+ years of industry experience in a data science or technical analytics role
• Advanced proficiency in SQL
• Experience with A/B testing and experimentation
• Experience building dashboards (we primarily use Metabase and Amplitude)
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
• Avid learner and practical problem solver
• Professional proficiency in English, written and spoken
• Plus: experience with Adwords, SEO
• Plus: proficiency in visualization libraries in Python or R

• Work at a well-funded and proven startup with large ambitions
• Competitive salary
• Generous equity package
• Private health insurance
• Flexible vacation/time-off policy
• Fun office in the heart of Lisbon - Santos neighborhood!
• An entrepreneurial culture where pushing limits and taking risks is everyday business
• Open communication with management and company leadership
• Small, dynamic teams = massive impact

About Working at Bounce

At Bounce, we're dedicated to fostering an inclusive environment regardless of gender identity, orientation, or expression. Our mission is to eradicate exclusivity and barriers and encourage fresh thinking and perceptions in a space of belonging. We don't define ourselves by race, gender, or age. We are about people. Without our people harnessing their creativity and innovation, we are nothing.

About Us:

Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the new, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.

With platforms on iOS, Android, mobile web and desktop supporting more than 25,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

Job Description:

We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams. As a Senior Data Analyst, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.

What you'll do/own:

• Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
• Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
• Maintain and improve Gametime’s business intelligence reporting infrastructure
• Leverage analytics and quantitative methods to inform and influence decision-making
• Influence and build relationships with people across all levels of the organization, internally and externally

• 2-3+ years of Data Analyst, Data Science experience, ideally at a technology company
• Proficient in SQL
• Experience with A/B testing
• Ability to identify, analyze, and provide recommendations to complex business decisions
• Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
• Ability to work across disparate data sources to obtain sensible results
• Strong collaboration and communication skills
• Experience analyzing user-centric products, preferably in the gaming or marketplace industries
• Strong problem-solving skills
• Some experience with Python or R
• Experience with a data visualization software

• Flexible PTO
• Equity
• Medical, dental, & vision insurance
• Life insurance and disability benefits
• 401K, HSA, pre-tax savings programs
• New equipment setup provided
• Diverse Family-forming benefits through Carrot Fertility
• Wellness programs
• Tenure recognition

• $130,000-$140,000

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

We believe everyone should have access to a better financial future. Our team builds simple, transparent and inclusive products that transform borrowing behavior and improve financial outcomes. With our easy to use, all-in-one platform, we empower our 7 million members to achieve their goals, one paycheck at a time. Backed by First Round Capital and JP Morgan.

Our office inspires our talented team members to build life-changing products for our customers and have fun while doing it. We created a home away from home by designing a kitchen, living room, bar, and office space all-in-one.

Perpay is located in Center City, Philadelphia in a new, open floor plan, river-front office. A coffee bar sits at the heart of the office with espresso, drip coffee, cold brew and tea options. The rest of the office has comfortable, open seating including: sitting desks, standing desks, couches, lounge chairs, and kitchen booths & tables. We provide catered lunches and weekly groceries so team members can make breakfast or lunch, or just snack -we don’t judge. Join us as we transform the credit landscape!

How far we have come and where we are going:

• 2017: Launched Perpay’s buy now, pay later marketplace of 1,000+ top brands

• 2020: Launched Perpay+, allowing members to build credit by shopping with an average credit score increase of 35+ points

• 2022: Building our next product, establishing Perpay as a household name for consumer finance

About the Role:

We are searching for a full stack Data Scientist with an insatiable level of curiosity and a passion for learning new skills and applying them to real world problems. The role of a Data Scientist at Perpay encompasses modeling and probabilistic analysis, building and maintaining the data science infrastructure, solution deployment, and communication with stakeholders. As a member of the Data Science group, you will be exposed to all aspects of the business, be it risk, marketing or commerce and provide impactful insights for decision making.

Our greatest strength is our people and we’d love for you to be one of them!

Responsibilities:

• Perform advanced data analytics utilizing mathematics, probability, and statistics
• Develop machine learning models and tooling for various business domains
• Deploy models into continuous training architecture and perform maintenance on data science infrastructure
• Present results and analyses to the company's leadership team
• Provide mentorship to junior members
• Act as a subject matter expert in the industry generally and Perpay specifically, establishing a solid foundation to be better positioned for long-term career success

• 3+ years work experience (does not include internships) in either data engineering, science, or machine learning
• Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics)
• Preferred: Master's degree graduation date of 2021 or earlier
• Proficient with Python, preferred o Proficient using SQL for acquiring and transforming data (2+ years required)
• Experience in building and maintaining cloud computing architectures, AWS Preferred
• High level of expertise in machine learning, mathematics, probability and statistics
• Knowledgable in modern Machine Learning deployment patterns
• Experience processing, filtering and presenting large quantities of data
• Excellent verbal and written communication skills with the ability to effectively advocate for technical solutions to engineering teams and business audiences
• Natural curiosity and a desire to learn

• Effective project management, problem solving, analytical and troubleshooting skills
• Experience implementing machine learning solutions at scale
• Strong knowledge and understanding of financial services

What We’ll Bring:

• Competitive salary + company equity

• 401k with company match

• Medical / Dental / Vision insurance

• Pre-tax Public Transportation benefit

• Relocation assistance

• Student loan company match

• Gym subsidy with City Fitness

• Cell phone plan

• Paid parental leave

• Unlimited PTO

• Optional remote work days

• Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech working cross functionally.

This is not a remote opportunity (#LI-Onsite)

Perpay is proud to be an equal opportunity employer. We value diversity and are committed to inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at careers@perpay.com to request accommodation.

EvenUp is a venture-backed generative AI startup that ensures injury victims are awarded the full value of their claims, expanding the $100B+ in awards granted to injury victims every year. Every year, the legal system has made it difficult for millions of ordinary people to seek justice, especially for folks without means or who come from underrepresented backgrounds. Our vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or the quality of their legal representation.

EvenUp operates across all types of injury cases, from police brutality and child abuse to California wildfires and motor vehicle accidents. Our ML-driven software empowers attorneys to accurately assess the value of these cases by doing a core part of their workflow (legal drafting), enabling them to secure larger settlements in record time. As EvenUp evaluates more cases, our proprietary data grows, enhancing the precision of our predictions and delivering more value to both attorneys and victims alike.

As one of the fastest growing startups ($0 to $10M in ARR in <2 years), we raised $65M in investment from some of the best investors in the world (Bessemer, Bain Capital, Signalfire, DCM, NFX, Tribe Capital), seasoned tech executives (i.e. founder of Quora, SVP at Google, former CPO at Uber), and public figures that care about our social mission (Nas, Jared Leto, Byron Jones). Our team comes from top tech, legal, and investing backgrounds including Waymo, Google, Amazon, Uber, Quora, Blizzard, Norton Rose, Warburg Pincus, Bain, and McKinsey.

Why we're hiring machine learning engineers:

In the past year, our engineering and data science team grew from <10 to ~30 and we rolled out infrastructure updates, new products, and updates to existing workflows - combining data, ML frontend and backend work. The next 12 months are very exciting for us; we expect the technical team to triple to 80+ as we deliver on a roadmap to handle 10x our current volume. Now is the time to get on the ground floor as we scale!

We are looking for machine learning engineers who are passionate about building production machine learning products with a world-class team headed up by Matyas (lead early and foundational teams at Quora and Uber). You will have immense opportunities to work on a broad range of business/technical problems and technologies, build machine learning models, and design/automate/deploy production machine learning pipelines. We share a passion for problem-solving, new technologies, and learning, so you will be highly encouraged to explore new technologies and develop innovative solutions that could take the team's machine-learning engineering capability to the next level.

What you'll do:

• You will build and deploy machine learning models in production that tangibly impact the lives of our customers
• You will be responsible for technical roadmaps and will collaborate with Product Management, Product Engineering, and Design to shape the overall product roadmap
• You will be a strategic partner for leaders across the organization on driving business impact through machine learning
• You will coach and mentor the next generation of strong engineers on the team

• Experience building machine learning systems deployed to production
• Industry or research experience in NLP, information retrieval, or entity resolution
• Ability to communicate technical ideas or issues in easy-to-understand and actionable terms
• Ability to translate theory and new ideas into practical shippable solutions

• Thrive on data-driven development, always looking for ways to analyze and improve with data
• Can develop methods and algorithms from first principles where necessary as opposed to relying fully on packaged third-party solutions
• Learn quickly and are seeking opportunities to work cross-functionally and with a diverse group of people
• Are looking for new challenges to take your craft to the next level

Benefits & Perks:

We seek to empower all of our team members to fulfill our mission of making the world a more just place, regardless of our team’s function, geography, or experience level. To that end, we offer:

- Fully remote setup - work from wherever you feel is best (Plus a stipend to upgrade your home office!)

- Flexible working hours to match your style

- Offsites - get to meet your coworkers on a fully-expensed trip every 6-12 months!

- Choice of great medical, dental, and vision insurance plan options

- Flexible paid time off

- A variety of virtual team events such as game nights & happy hours

EvenUp is an equal-opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About the Role

As a senior data scientist in the GTF Risk Data team, you will develop data science models to protect GoPay and its customers. You will have the opportunity to work with large-scale data to derive new intelligence and use cutting-edge data science techniques. You will partner with Risk, product, and engineering stakeholders to identify and solve some of the most impactful and stimulating business problems in the payments space. You will work in a fast-paced environment with direct impacts to the business.

What Will You Do

• Combine technical and business knowledge to develop innovative data science solutions
• Rapidly prototype solutions and contribute to product and feature discussions
• Analyze large volume of data and generate actionable insights
• Experiment with different ML techniques and research the latest technologies (e.g. LLM) to determine the best approach
• Own end-to-end solutioning, from formulating the technical problem to deployment of the solution as part of a cross-functional team of scientists, analysts, product managers, and engineers

• 6+ years of experience developing ML solutions, 2-3 years of fraud risk experience in account takeover, scam, and abuse
• Strong quantitative and problem-solving skills
• Solid understanding of Statistics/ML fundamentals and experience in Python, R
• Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions
• Ability to write clear and concise technical documentation
• Ph.D. or Masters in a quantitative discipline (good to have - Experienced - Bachelor)

About The Team

The GTF Data Science team builds critical data science/ML models to make GoPay a safe, trusted and fun way to do payments. Our team members come from diverse backgrounds, and use mathematics, statistics, machine learning, deep learning to solve some of the toughest business problems in GoPay. We are passionate about data science, innovation, and their impacts to the business

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.

About Gojek 

Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

About the Role 

As a Data Scientist specializing in Computer Vision, you will be solving a variety of practical deep learning and computer vision tasks arising from different businesses in GoTo financial. You should be able to bring a new level of Deep Learning/Computer vision capabilities to the GoPay data science cloud and mobile platform.

What You Will Do

• Work with data like images, videos and real-time sensor data etc.
• Design, train, quantize and deploy deep learning/computer vision models
• Develop unit tests, documentation for features, evaluating, benchmarking the prediction/quality
• Communicate effectively between the business team and the engineering team to gather and implement project requirements
• Own end-to-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution
• Participate in internal and external conferences and workshops

• 3+ years of experience in developing Deep Learning/Computer Vision and classic ML models for practical applications
• Familiar with deep learning frameworks, such as PyTorch, TensorFlow/Keras, Caffe, NCNN etc. 
• Have practical knowledge of image/video processing techniques and deep learning in the computer vision domain
• World-class open data-science/deep-learning competition results and/or contributions to a deep learning/data science frameworks
• Familiarity with working knowledge in Android/iOS and GCP
• Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions
• Ability to write clear and concise technical documentation

About the Team 

GoPay Data Science team builds critical ML components/models which go into the engineering systems which make GoPay a safe, trusted and fun way to do payments. Our team members come from varied backgrounds, and bring with them a wide set of skills (mathematics, statistics, machine learning, deep learning etc) which we use some of the toughest business problems in GoPay. We are enthusiastic about both data science techniques and methods, as well as the business impact of our models, and have numerous internal forums where sharing, discussions and presentations by the team members happen

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.

About Gojek 

Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.