Sr Data Scientist

Harnham; Los Angeles (CA); Hybrid; USD 165,000 - 205,000; Full time

Job summary

Harnham, a global leader in gaming analytics, is seeking a Senior Data Scientist in Los Angeles. You will own forecasting, causal inference, and optimization projects that inform investment decisions and platform economics.

Collaborate with Finance, Strategy, and Product; mentor peers; translate complex analyses into actionable recommendations for senior leadership. This hybrid role includes monthly team meetups and flexible working arrangements.

Qualifications

• Strong background in forecasting, causal inference, or optimization.
• Experience informing commercial, financial, or product decisions.
• Proficient in Python and SQL with modern modelling tools.
• Ability to own data science projects end-to-end.
• Excellent stakeholder communication with senior leaders.

Responsibilities

• Develop advanced forecasting models to understand long-term customer value.
• Apply causal inference to evaluate product launches and investments.
• Build optimization and scenario-planning models for strategic decisions.
• Own data science projects end-to-end from scoping to delivery.
• Collaborate with Finance, Strategy, and Product to translate problems into solutions.
• Communicate findings to technical and nontechnical audiences.
• Mentor other data scientists while delivering hands-on work.

Skills

Forecasting

Causal Inference

Optimization

Data Science

Econometrics

Stakeholder communications

Education

Master's or PhD in Statistics/Economics/Math/OR/ML

Tools

Python

SQL

Job description

Senior Data Scientist – Forecasting, Causal Inference & Commercial Modelling

Working Model: Flexible Hybrid (Approximately Monthly Team Meetups)

Salary: $165K-$205K Base Bonus

About the Opportunity

Harnham is partnering with a global leader in gaming and interactive entertainment to hire a Senior Data Scientist for a highly visible team focused on customer value, platform economics, and strategic investment decisions.

This is an exciting opportunity to apply advanced statistical modelling, forecasting, causal inference, and optimization techniques to complex commercial challenges impacting millions of users worldwide.

Working closely with senior stakeholders across Finance, Strategy, and Product, you will play a key role in understanding long-term customer value, measuring the incremental impact of business initiatives, and informing major investment and portfolio decisions.

This position is ideal for a commercially minded, hands-on Data Scientist who enjoys solving ambiguous business problems and translating sophisticated analytical approaches into actionable recommendations.

The Role

As a Senior Data Scientist, you will:

• Develop advanced forecasting models to understand long-term customer value, commercial performance, and platform economics.
• Apply causal inference and incrementality measurement techniques to evaluate the true impact of product launches, investments, and business initiatives.
• Build optimization and scenario-planning models to support strategic investment decisions and long-range portfolio planning.
• Own complex data science projects end-to-end, from problem definition and methodological design through implementation, validation, and business adoption.
• Partner with senior stakeholders across Finance, Strategy, and Product to translate ambiguous commercial challenges into measurable analytical solutions.
• Evaluate modelling approaches based on statistical rigor, interpretability, scalability, and business impact.
• Communicate complex findings, assumptions, and recommendations to technical and nontechnical audiences.
• Collaborate with and mentor other data scientists while remaining highly hands-on with technical delivery.

Your Skills & Experience

Required

• Strong professional experience in data science, econometrics, statistical modelling, or advanced commercial analytics.
• Demonstrated expertise in forecasting, alongside strong experience in at least one of causal inference or optimization.
• Experience developing models that influence commercial, financial, product, or investment decisions.
• Strong proficiency in Python and SQL, with experience across modern statistical modelling and machine learning tools.
• Experience applying quantitative techniques to ambiguous, real-world business problems.
• Proven ability to independently own data science projects from initial scoping through delivery and stakeholder adoption.
• Strong stakeholder management and communication skills, particularly when working with senior business or commercial leaders.
• Master's degree or PhD in Statistics, Economics, Mathematics, Operations Research, Machine Learning, or a related quantitative discipline.

Nice-to-Have

• Experience in gaming, entertainment, streaming, subscription businesses, e-commerce, or large consumer technology platforms.
• Background in economic consulting, quantitative strategy, or commercially focused analytics consulting.
• Experience with Bayesian forecasting, experimentation, counterfactual modelling, or causal impact measurement.
• Experience in optimization, resource allocation, investment modelling, or long-range financial planning.
• Familiarity with PySpark or distributed data processing tools.
• Experience partnering directly with Finance or Strategy teams.

Why Apply?

• High-Impact Work: Influence strategic investment and commercial decisions at a globally recognized entertainment business.
• Advanced Data Science: Work on sophisticated forecasting, causal inference, and optimization challenges with measurable business impact.
• Senior Stakeholder Exposure: Collaborate closely with Finance, Strategy, and Product leadership.
• Technical Ownership: Take full ownership of complex modelling initiatives while remaining hands-on.

If you're an experienced Data Scientist with a strong foundation in forecasting, causal inference, and commercially driven modelling, we'd love to hear from you.