Staff Data Scientist - Experimentation & Measurement Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting ...
Staff Data Scientist - Experimentation & Measurement Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting ...
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Associate Data Scientist Experimentation information
What is the difference between Associate Data Scientist Experimentation vs Data Scientist?
| Aspect | Associate Data Scientist Experimentation | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's degree in Data Science, Statistics, or related field; some roles may require internships or entry-level certifications | Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field; advanced certifications beneficial |
| Work Environment | Collaborative teams focusing on experimentation, A/B testing, and initial data analysis | Broader data analysis, modeling, and strategic decision-making across projects |
| Employer & Industry Usage | Tech companies, e-commerce, marketing firms focusing on testing and optimization | Varied industries including finance, healthcare, tech, and consulting with advanced analytics roles |
In summary, Associate Data Scientist Experimentation typically involves entry-level work focused on testing and experimentation, while Data Scientists handle more complex modeling and strategic analysis. The roles often overlap in skills but differ in scope and experience level.
What are the most commonly searched types of Data Scientist Experimentation jobs in Oregon?
The most popular types of Data Scientist Experimentation jobs in Oregon are:
Full-time
Posted 22 days ago
Job description
Staff Data Scientist - Experimentation & Measurement
Overview:
As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.
What You'll Be Doing:
- Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible.
- Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership.
- Mentor and guide other Data Scientists, providing thought leadership and technical direction.
- Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
- Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
- Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
- Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
- Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work.
- Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.
asic Requirements:
- Bachelor's degree or equivalent.
- 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD).
- Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
- Proficiency in SQL and Python for data extraction, transformation, and analysis.
- Broad and applied knowledge of statistical techniques.
- Experience with machine learning modeling is a plus.
- Proven ability to influence product and business decisions through clear, actionable insights.
- Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
Preferred Requirements:- Master's or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
- Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.
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About PlayStation
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
San Mateo, CA, US
Year founded
1994