What are the responsibilities and job description for the Senior Data Scientist position at Match Group?
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 Senior 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.
\n- You can clean, analyze, and mine data to unearth trends.
- You also have the technical chops to build a system around this data that improves the POF experience - deploying production codeYou can develop data pipelines with automated, machine-learning systems that convert large source datasets into actionable signals.
- You like deep-diving into unstructured data and building complex models to extract valuable insights into our users and our business
- You can perform time series analysis and forecasting for a variety of important business and operational metrics.
- You make business recommendations (e.g. cost-benefit, trend forecasting, experiment analysis) with effective presentations of quantitative findings to multiple levels of stakeholders.
- You craft new algorithms and learning systems to detect and combat spam and fraud.
- You have experience coordinating with business analysts to define analytic events and key performance metrics.
- You have experience writing complex algorithms and measuring their impact on a user base.
- You can see the “big picture” and how your work relates to POF’s entire business - and the ability to prioritize your work accordingly
- M.S., or Ph.D. in Computer Science or related field. Advanced degrees preferred, but not required.
- Math degree for stats.
- Minimum of 5 years post graduation experience as an Industry experience as a Data Scientist / Data Engineer / Machine-Learning Engineer or demonstrated ability to drive value through data science projects.
- Deep understanding of fundamental statistics: inference, Bayesian methods, likelihood estimation, decision theory, Monte-Carlo methods and sampling theory.
- Knowledge of experiment design and hypothesis testing.
- Knowledgeable in data cleaning, data mining and distributed machine learning.
- Ability to rapidly acquire and adopt new knowledge and techniques.
- Proficient with standard SQL and relational databases; experience with Apache Spark & HDFS a plus.
- Familiarity with R or Python and their data science/machine learning packages - Need Java.
- Comfortable working independently on large projects (demonstrated via industry or academic experience) or as part of a diverse team of different skills as necessary.
#LI-CENTRAL
#LI-TM2
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.
#MG
Salary : $150,000 - $160,000