Match Group’s Evergreen & Emerging (E&E) organization is one of the world’s leading online dating groups, home to a diverse and well-known portfolio that includes OkCupid, Match.com, Meetic, PlentyOfFish, Affinity, and more. Our team is based in Vancouver and works closely with other Match Group (NASDAQ: MTCH) brands like Tinder and Hinge.
We love what we do and are motivated by the opportunity to make a positive impact on millions of people every day. We work hybrid on Tuesdays, Wednesdays, and Thursdays in our downtown Vancouver office, and remotely the rest of the week.
We’re looking for a Data Scientist who thrives at the intersection of experimentation, engineering, and product impact. You’ll work on high-visibility projects spanning recommendation systems, personalization, fraud prevention, and behavioral modeling — building production-grade models that power real-world experiences across our apps.
How you will make impact:
- 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!
We may be a Match if:
- 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
Why Match Group?
Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:
• 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
We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period.
If you require a reasonable accommodation to participate in the hiring process — such as during pre-employment testing or interviews — please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage.
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