2K Games is looking to build a world-class data ecosystem to power real-time analytics, machine learning, and game intelligence across all their franchises, and they need a Senior Product Manager, Data Science to drive the vision, strategy, and execution of their data science strategies and products.
Requirements
- 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;
- 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
- 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
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;
- 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)
Other
- 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
- 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
