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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingpredictive modelingtime series analysisdeep learningmachine learningmathematical modelingstatisticsrecommender systemsSQLPython

Soft Skills

collaborationcreativitydata-driven cultureindependenceproblem-solvingadaptabilitycommunicationprioritizationexpertise sharingbig picture thinking

Certifications

M.S.PhD