Associate Principal Data Scientist
San Francisco - King - 555 California Street, United States
Full Time Mid-level / Intermediate USD 143K - 264K
Activision Blizzard
Activision is the leading worldwide developer, publisher and distributor of interactive entertainment and products on consoles, mobile and PC.Job Title:
Associate Principal Data ScientistRequisition ID:
R025545Job Description:
Your Role Within Our KingdomWe are seeking an Associate Principal Data Scientist—a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling.Responsibilities:- Lead the design and execution of large-scale data science initiatives, shaping the roadmap for experimentation and modeling across teams.
- Apply advanced statistical, optimization, and machine learning techniques (e.g., time-series, regression/classification, recommendation engines, reinforcement learning, and genAI) to drive system understanding and develop data-powered solutions across the organization.
- Own design and evaluation of experimentation for optimization systems.
- Provide technical direction, mentor senior data scientists, and set high standards for scientific rigor, communication, and reproducibility.
- Partner cross-functionally with Product, Engineering, and Game Studios to frame ambiguous problems, scope solutions, and influence strategy.
- Champion innovation by evaluating new methodologies and tools, and by raising the bar for scalable, interpretable, and actionable data science.
- Master’s degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research).
- 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems.
- Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS).
- Strong systems thinking—able to zoom out and define strategy while also diving deep into code and analysis.
- Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering and Business teams.
- Demonstrated experience mentoring, influencing, and elevating the technical bar across a data science organization.
- Experience working with advertising data products or monetization systems.
- Prior work with mobile gaming studios or player behavior modeling.
- Experience in developing or maintaining experimentation platforms.
- Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow).
Rewards
We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including:
- Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;
- 401(k) with Company match, tuition reimbursement, charitable donation matching;
- Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;
- Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;
- If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.
Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting https://www.benefitsforeveryworld.com/.
In the U.S., the standard base pay range for this role is $143,060.00 - $264,846.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role’s range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.Tags: Airflow AWS Big Data Classification Computer Science dbt Economics Engineering GCP Generative AI Machine Learning Mathematics MLFlow PhD Python Reinforcement Learning Research Spark SQL Statistical modeling Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Fitness / gym Health care Insurance Medical leave Parental leave Relocation support Salary bonus
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