Lead Product Manager, Data Science

2K•Los Angeles, CA

8h•Onsite

About The Position

2K Games is building a world-class data ecosystem to power real-time analytics, machine learning, and game intelligence across all our franchises. We are looking for a Senior Product Manager, Data Science to drive the vision, strategy, and execution of our data science strategies and products, partnering with game studios and analytics teams to enable enhanced player experiences. This role requires a blend of strategic development, product management expertise, and technical understanding of data science and machine learning (ML) methodologies. The ideal candidate will seamlessly integrate data-driven strategies with player-centric goals, ensuring AI and analytics improve game design, live operations, and business intelligence.

Requirements

7+ years of experience in product management with a focus on data science, analytics, or ML-driven products
5+ years of experience in gaming, technology, or entertainment industries
Strong understanding of data science methodologies, such as predictive modeling, natural language processing, and computer vision
Experience with data science tools and platforms, such as Python, SQL, Databricks,TensorFlow, and R
Customer-focused mentality with focus on the Why and What without getting lost in the What and the How
Consistent track record of delivering data science products and features from ideation to production, with measurable business impact
Ability to translate complex data insights into clear product strategies and business opportunities
Knowledge of real-time analytics platforms, streaming data processing, and feature store management
Familiarity with data governance frameworks, model risk management, and MLOps standard processes preferred
Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field preferred.

Responsibilities

Develop and implement the product strategy for 2K’s central data science platform, partnering with Data Scientists across our gaming business units to drive predictive analytics, player personalization, and real-time decision-making
Collaborate with the Director of Product, 2K Data to align the data engineering roadmap with customer objectives and player-centric outcomes
Define and prioritize a high-impact data science roadmap to lead a team of central data scientists in driving a variety of use cases such as player retention modeling, dynamic content generation, and real-time fraud detection.
Lead the development of reusable and extensible machine learning models, feature engineering pipelines, and ML-driven insights using tools like Databricks, MLflow, and SageMaker
Ensure data science initiatives integrate seamlessly with the real-time data infrastructure, supporting streaming analytics, AI-powered LiveOps, and dynamic matchmaking systems
Establish and maintain self-service tools that enable game teams to experiment with and deploy AI models independently
Support the build and enhancement of the central ML feature store
Monitor and optimize model performance in production environments, using MLOps standard methodologies
Implement governance frameworks to ensure AI models adhere responsibly to data privacy, security, and compliance standards (e.g., CCPA, GDPR).
Work closely with data scientists across game studios and business units to understand their data science needs and to provide data-driven solutions at the pace they need them
Act as a strategic liaison between data scientists and product teams, ensuring model outputs are actionable, reliable, and aligned with business goals
Promote a culture of experimentation and rapid iteration, supporting game studios with A/B testing frameworks, predictive analytics, and personalization engines.
Find opportunities to enhance game design and player engagement through advanced analytics and machine learning.

Benefits

medical, dental, vision, and basic life insurance coverage
14 paid holidays per calendar year
paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program
up to 10 paid sick days per calendar year
paid parental and compassionate leave
wellbeing programs for mental health and other wellness support
family planning support through Maven
commuter benefits
reimbursements for fitness-related expenses
eligibility to participate in our 401(K) plan and Employee Stock Purchase Program
bonus and/or equity awards