Senior Data Platform Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Who We Are

Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios are responsible for developing 2K’s portfolio of world-class games across multiple platforms. Include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, and HB Studios. Our portfolio of titles is expanding due to our global strategic plan, building, and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, problem solvers, and doers, are the professional publishing stewards of our growing library of critically acclaimed franchises such as NBA 2K, BioShock, Borderlands, Mafia, Sid Meier’s Civilization, Tiny Tina’s Wonderlands, WWE 2K, and XCOM.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We are dedicated to diversity and inclusion and want our community of candidates to reflect this commitment. We encourage all qualified applicants to explore our global positions.

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO).

What We Need

We are looking for an experienced and skillful data scientist to join a rapidly growing team pioneering innovations in the Data & Analytics Organization. This team brings AI, machine learning, statistics, operations research, and economics to the design, operation, and optimization of 2K’s games. We cover the application of algorithmic solutions to matchmaking, player experience personalization, in-game economy, and fraud.

What You Will Do

• Work closely with game development, live services, tech, and data engineering teams to identify, frame, and solve problems through innovative applications of machine learning in the fascinating world of video gaming.
• Research and implement machine learning models and AI algorithms to impact in-game experiences.
• Collaborate with engineers on integrating machine learning solutions with the products.
• Mentor more junior members of the team with your knowledge and experience.
• Lead by example and set standard processes on data science work for the team.

 What Will Make You a Great Fit

You have great technical breadth and depth over machine learning and statistics, experience with deployment and productizing machine learning models, track record of technical leadership on complex projects through cross-team collaborations. You are a solution oriented, creative problem solver, a self-starter with the passion and enthusiasm to drive impact, build whatever is necessary along the way. You are capable and comfortable making architectural choices when working on complex solutions consisting of multiple components.

• PhD in Mathematics, Statistics, Physics, Computer Science, Operations Research, Industrial Engineering, Electrical Engineering, or Economics.
• 4+ Years of experience in machine learning, data science, or applied science roles.
• Expertise in both traditional ML & deep learning.
• Proficient in Python programming and machine learning modeling/computation frameworks such as scikit-learn, PyTorch, Tensorflow, Spark ML
• Proficient in relational database and SQL. Experience with big data technologies such as Apache Spark, NoSQL databases
• Excellent communication skills with both technical and non-technical audience

Bonus Points

• Experience with matchmaking algorithm in either gaming or non-gaming context, recommender systems, simulations
• Expertise in mathematical optimization, reinforcement learning, game theory, mechanism design or market design
• Cloud services such as AWS. Familiarity with containerization, container orchestration, serverless, and model serving
• Familiarity with video games