Senior Product Manager, Data Science

Position Overview

2K, a global leader in video games and a wholly owned label of Take-Two Interactive Software, Inc., has been inspiring gamers worldwide since 2005. We are seeking a Senior Product Manager, Data Science to drive the vision, strategy, and execution of our data science initiatives, partnering with game studios and analytics teams to enhance player experiences through real-time analytics, machine learning, and game intelligence.

Key Responsibilities

• Develop and implement product strategy for the central data science platform, collaborating with data scientists to drive predictive analytics and real-time decision-making.
• Collaborate with the Director of Product, 2K Data to align the data engineering roadmap with customer objectives.
• Define and prioritize a high-impact data science roadmap, leading a team to drive use cases such as player retention modeling, dynamic content generation, and real-time fraud detection.
• Lead development of reusable machine learning models, feature engineering pipelines, and ML-driven insights using tools like Databricks, MLflow, and SageMaker.
• Ensure data science initiatives integrate with real-time data infrastructure to support streaming analytics, AI-powered LiveOps, and dynamic matchmaking systems.
• Establish and maintain self-service tools for game teams to experiment with and deploy AI models independently.
• Support the build and enhancement of the central ML feature store while monitoring and optimizing model performance using MLOps methodologies.
• Implement governance frameworks to ensure AI models adhere responsibly to data privacy, security, and compliance standards (e.g., CCPA, GDPR).
• Collaborate with cross-functional teams to provide data-driven solutions and promote a culture of experimentation and rapid iteration.
• Act as the strategic liaison between data scientists and product teams to ensure model outputs are actionable and aligned with business goals.
• Identify opportunities to enhance game design and player engagement through advanced analytics and machine learning.

Required Qualifications

• 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, including 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 an emphasis on understanding the "Why" and "What" of product strategy.
• A consistent track record of delivering data science products and features from ideation to production with measurable 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.

Preferred Qualifications

• Familiarity with data governance frameworks, model risk management, and MLOps standard processes.
• Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field.

Benefits & Perks

• Compensation: Annual pay range between $109,800 and $162,480, plus bonus and/or equity awards based on market considerations.
• Eligibility to participate in a 401(K) plan and Employee Stock Purchase Program.
• Medical, dental, vision, and basic life insurance coverage.
• 14 paid holidays per year.
• Paid vacation time (15 to 25 days) or participation in a discretionary time off program.
• Up to 10 paid sick days per year.
• Paid parental and compassionate leave.
• Wellbeing programs for mental health and overall wellness support.
• Family planning support through Maven.
• Commuter benefits and reimbursements for fitness-related expenses.