Data Scientist with AI production experience to build CUJU's data and ML platform. Responsible for data ingestion, processing, and analytics in sports talent scouting.
About the role
- Data Scientist at Match Group developing AI prototypes and predictive models for enhancing user experiences. Collaborating across teams to extract insights and drive product impact in a hybrid work environment.
Responsibilities
- Explore, design and build AI prototypes capable of significantly altering our users’ experiences
- Develop detailed data models to explain user behavior and discern complicated patterns
- Dive into the data to analyze subtle trends in business performance, presenting insights and stories through the data in accessible ways
- Work alongside our Architects to evaluate and review the algorithms we use to match users
- Design and building complex predictive models, creating forecasts, and mining deep insights from raw and unstructured data
- Perform deep dives into unstructured data and build complex models to extract valuable insights into our users and the business
- Perform time series analysis and forecasting for a variety of important business and operational metrics
- Coordinate with the Product team to identify and measure key business areas and provide them with actionable insights
- Evangelize a data-driven culture
- Participate in a highly collaborative environment, we want you to share your expertise!
Requirements
- M.S or PhD in a quantitative field such as physics, mathematics, computer science, statistics, biostatistics, or economics
- Minimum of 3+ years post graduation experience as a Data Scientist, Research Scientist, or Machine Learning Engineer
- Strong track record in using cutting-edge deep learning techniques and associated tools (such as PyTorch/Tensorflow)
- Strong programming skills with a history of deployment to production at scale
- Proven track record of productionizing machine learning solutions for stakeholders at scale
- Solid understanding of mathematical modeling and statistics: inference, Bayesian methods, graphical models, network theory, likelihood estimation, Monte-Carlo methods, and sampling theory
- Experience working with and deploying recommender systems
- Understanding of how to optimize machine learning models (parallelization, batching techniques, etc)
- Ability to rapidly acquire and adopt new knowledge and techniques
- Ability to think creatively about problems and not afraid to go “outside the box.”
- Proficient with standard SQL and relational databases
- Familiarity with Python and/or R and their data science/machine learning packages
- Comfortable working independently on large projects (demonstrated via industry or academic experience) or as part of a diverse team of different skills as necessary
- Ability to see the “big picture” and how your work relates to Match group's entire business - and the ability prioritize your research work accordingly
- Experience with GCP/AWS or other cloud providers
Benefits
- Generous vacation, flex days, professional development days
- RRSP matching, and employee stock purchase plan
- Professional development budget and unlimited access to Udemy from day one
- Match Group mentorship program
- Parental leave top up and fertility preservation benefits
- Extended health & dental benefits from day one
- Corporate ClassPass membership and other wellness benefits
- And many more on our careers page
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