How you will make impact:
- 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
We may be a Match if:
- M.S., or Ph.D. in Computer Science or related field. Advanced degrees preferred, but not required.
- Math degree for stats.
- 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.
Top Skills
What We Do
Match Group is home to some of the world’s most popular dating and social discovery apps, including Tinder, Hinge, Match, and more. Match Group’s mission is to spark meaningful connections for every single person worldwide. Our diverse portfolio of apps enables connections across a diverse range of ages, genders, backgrounds, and dating goals. Our services are available in over 40 languages to users all over the world.
Why Work With Us
Match Group is united by a mission to help people find meaningful connections and fight loneliness. We’re not just building products. We’re creating friendships, marriages, and families around the world. Our culture is fueled by purpose, creativity, and a passion for what we can build together.
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