Senior Data Scientist

As a Data Scientist III (Contractor) on the Central PubSports Insights Team, you’ll be responsible for helping our client deepen our understanding of our players, our live games’ performance, and our client's Games ecosystem.

You’ll conduct advanced statistical analyses, A/B testing and build predictive data models that leverage out of game data combined with game telemetry - in partnership with game analysts and researchers - to inform our understanding of the relationship between sentiment, player experience, and player engagement or monetization.

This role blends rigorous experimentation, applied machine learning, and strategic insight generation to shape decisions that impact millions of players worldwide.

Responsibilities:

• Lead the development of scalable insights, frameworks, and methodologies that deepen the client’s foundational understanding of player behavior and game ecosystems
• Drive ambiguous, high-impact problem spaces end-to-end - partnering with product, design, engineering, and analytics to translate open-ended questions into rigorous analytical strategies and experimentation roadmaps
• Own the design, execution, and interpretation of complex experimentation (A/B tests and beyond) to influence product, gameplay, and monetization decisions across the client's portfolio
• Develop advanced models and analytical frameworks to understand and predict player lifecycle dynamics, including retention, churn, engagement, and lifetime value
• Synthesize findings into clear, actionable narratives and influence senior stakeholders through strong communication and data storytelling
• Set direction for and evolve central data science products within the Central PubSports Insights domain, including defining roadmaps, improving reliability, and driving automation at scale
• Mentor and elevate other data scientists and analysts by establishing best practices, enabling reproducibility, and scaling impact through shared tooling, documentation, and training

Required Qualifications

• Ph.D. in Machine Learning, AI, Statistics, Mathematics, Computer Science, or a related quantitative field with 4 years of industry experience (including postdoctoral work), or equivalent practical experience (M.S. with 6-8 years, or B.S. with 8-10 years)
• Deep expertise in Python and SQL, with experience working on large-scale, distributed data systems (e.g., Spark, Databricks, or cloud-based platforms)
• Proven track record of developing, deploying, and maintaining machine learning models in production environments (e.g., recommendation systems, churn prediction, personalization)
• Strong foundation in causal inference and experimentation, including advanced methods beyond standard A/B testing (e.g., quasi-experiments, instrumental variables, uplift modeling)
• Demonstrated ability to independently scope, prioritize, and execute complex analytical projects with significant business impact
• Experience influencing product or business strategy through data-driven insights

Desired Qualifications

• Deep intuition for player behavior, engagement loops, and monetization systems within games or digital products
• Experience operating in highly cross-functional environments and influencing without direct authority
• Strong leadership, mentorship, and technical guidance skills within data science or analytics teams
• Exceptional communication skills, with the ability to tailor insights to both technical and non-technical audiences and drive alignment across stakeholders

It’s our policy to provide equal employment opportunity for all applicants and employees of Bee Talent Solutions. The Company makes reasonable accommodations for handicapped and disabled employees and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law.

We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including, but not limited to, the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive data while employed by us and while on assignment at a customer of ours
• Communication with others, including employees and third parties such as vendors, customers (including their employees), and/or players, including minors
• Accessing our or our customer’s assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players, employees, and temporary workers

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization and within the organization of any customer to whom you may be assigned while employed by us. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.