This job might no longer be available.

Senior Data Scientist

Who We Are

Take-Two develops and publishes some of the world's biggest games. Our Rockstar label creates Grand Theft Auto and Red Dead Redemption, two of the most critically acclaimed gaming franchises in history. Our 2K label creates games like NBA 2K, WWE 2K, Bioshock, Borderlands, Evolve, XCOM and the beloved Sid Meier's Civilization. Our Private Division label publishes Kerbal Space Program, The Outer Worlds, and will publish upcoming titles with Obsidian Entertainment, Panache Digital Games and more.

Take-Two Direct to Consumer

The Direct to Consumer team is a (well-funded) startup within Take-Two. We have offices in San Francisco and Vancouver and have built a culture that enables remote work. We're building a commerce and distribution platform for our game labels, partnering directly with our studios to bring value company-wide. Our team is small and agile – we release to our users quickly, and constantly iterate to elevate our product’s quality. We seek regular feedback from our users and labels to make sure we are delivering at and above expectations. We believe in giving our studios the flexibility they need to create the world's greatest games, so we plan to offer a variety of interfaces using modern technology and best practices. Our success is measured by our impact on gamers and developers, not presentations or promises.

As a Data Scientist on the D2C team you’ll be responsible for shaping and running advanced analytics and modeling initiatives to support the strategic direction of Take 2 Direct to Consumer Services. You will be working with data engineers and analysts to find valuable insights about our industry, the market, the games, and our player communities. You will also find the best ways to turn these insights into reliable and scalable solutions for our creative and corporate teams throughout the global organization.

Responsibilities:

• Champion the use of data science to reduce cost and increase the value of human judgment in decision making
• Work with product partners to understand how data science can help meet their business needs, formulate quantitative and measurable objectives, and guide them to actionable solutions
• Use advanced research techniques such as statistical analysis, machine learning, and data visualization to explore data, test hypotheses, identify underlying causes and patterns
• Share knowledge and create new models and algorithms to solve problems distinct to Direct to Consumer channels (e.g. sales forecasting, promo optimization, etc.)
• Develop models to identify, monitor and measure results of various key performance indicators reflecting the health of various Take-Two products in different segments of the interactive entertainment field

Required Skills & Qualifications:

• Degree in a quantitative field (Mathematics, Computer Science, Statistics, Operational Research, Engineering, etc).
• Solid understanding and professional experience in statistical analysis
• Strong analytical and problem-solving skills, with experience in breaking down a complex problem into solvable components
• Strong skills in data extraction, exploration, transformation and visualization
• Deep understanding of best-in-class and emerging methods and techniques in data science, with a high level of analytical rigor in formulating insights and strategies
• A confident, self-starter with the ability to think logically and make fact-based decisions
• Able to communicate clearly and concisely – to distill clear and simple themes from complex analytical findings
• Enjoy forward and critical thinking

Technical Skill Requirements:

• Proficient in Python and Jupiter Notebook
• Experience using data science and ML libraries, such as SciPy and scikit-learn
• Data visualization tools (e.g. MatPlotLib, Seaborn, Tableau, etc.)
• Operating with data at scale (e.g. Apache Spark, Snowflake, Databricks, etc.)

Desired Skills:

• Advanced degree in a quantitative field
• Experience in a deep learning library (e.g. Keras, Tensorflow)
• Cloud machine learning platforms, e.g. AWS SageMaker
• Experience of writing and tuning SQL
• Experience in a commercially focused analytical role, preferably in the digital retail and/or digital entertainment industry

#LI-PH1