Sr. Data Scientist (Strategic Insights)
Sep 15, 2023
United States, San Mateo, CA
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Sr. Data Scientist (Strategic Insights)
San Mateo, CA
Using data, you will play a crucial role in driving decision making and delivering impactful insights to our partners at SIE. You will be responsible for applying advanced analytical techniques, building machine learning models, and leveraging causal inference methods to solve complex business problems related to platform engagement, product features, and first-party games.
Apply sophisticated statistical and machine learning techniques to analyze large and complex datasets, extracting useful insights in a commercial setting
Use your knowledge in causal inference, machine learning, and statistical modeling to develop robust predictive models and identify causal relationships
Collaborate with cross-functional teams to define business problems, formulate hypotheses, and design experiments to test these hypotheses
Independently extract and integrate data from multiple data systems (including writing complex SQL queries) to support analytical efforts
Participate and support in delivering results and presentations to partners
Provide thought-leadership in ongoing financial measurement and analysis of SIE’s services; Identify new insights and opportunities for analytics projects
Promote and share the team's work, methods, and skills in data science, causal inference, and machine learning with collaborators and the broader SIE community
Stay up to date on the latest advancements in the field of data science (including causal inference and machine learning) and share knowledge and new insights with team.
Knowledge of gaming industry and relevant gaming titles
5+ years of advanced SQL required
5+ years of experience using statistical packages (R or Python) for model development
Familiarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow)
Excellent communication and data storytelling skills, with the ability to effectively communicate technical concepts to non-technical partners
Master's Degree or Ph.D. in Applied Math, Economics, Statistics, or Engineering preferred. BA/BS Degree in Mathematics, Applied Math, Statistics, Computer Science is a minimum requirement
In-depth understanding and experience using supervised and non-supervised machine learning techniques
Solid understanding of causal inference methods (such as propensity score matching, synthetic control methods, and difference-in-differences) for accurately estimating causal relationships
Proficiency in designing and performing hypothesis tests to validate or reject research hypotheses
Experience with standard BI Tools (Tableau, MicroStrategy, etc.).
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At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.
The estimated base pay range for this role is listed below.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
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