Senior Data Scientist

Key Skills

Algorithms, AWS, Azure, DevOps, Machine learning techniques, Python Programming, R Programming, SaaS, SQL

Job Description

Who We Are

2K develops and publishes interactive entertainment globally for console systems, handheld gaming devices and personal computers, including smartphones and tablets. We are proud to publish and support many of today’s most critically acclaimed gaming franchises, including NBA 2K, PGA TOUR 2K, WWE 2K, Borderlands, Marvel’s Midnight Suns, BioShock, XCOM, and Sid Meier’s Civilization.

What We Need

This role will play a crucial role in driving decision making and delivering impactful insights on 2K sports titles to our liveops service team and studios. You will be responsible for applying advanced analytical techniques and generating player behavioral deep dives to solve complex business problems related to gamer engagement and in game economy. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and ability to work in a fast paced and ever-changing environment.

Responsibilities

• Apply sophisticated techniques to analyze large and complex datasets, extracting actionable insights in a commercial setting
• Use your advanced analytical methods to identify patterns and causal relationships
• Collaborate with cross-functional teams to define business problems and formulate and test out hypotheses
• Independently extract and integrate data from multiple data sources (including writing complex SQL queries) to support analytical efforts
• Drive the exploration and creative ways to use new measurement to assess economy changes in game
• Communicate conclusions to technical and non-technical audiences across multiple teams
• Provide thought-leadership on the team for junior members

What Skills Are Needed

• 5+ years work experience in data science with a Master or PhD degree in Mathematics, Statistics, Economics, Computer Science, Engineering Sciences (or in another quantitative discipline)
• 5+ years of professional experience with data scripting languages (SQL, python, R, etc.)
• In depth understanding and experience using supervised and unsupervised machine learning techniques
• Solid understanding of causal inference methods (such as propensity score matching, synthetic control methods, etc.)
• Excellent communication skills, with a proven track record of working across all levels of the organization
• Ability to translate complex findings and results into a compelling narrative
• Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in a agile, dynamic environment

Nice to have

• Experience working on video game-related AI/ML or data science projects, game design, or game economy balancing
• Experience building econometric models