Data Scientist, Product Analytics
Use data science and product analytics to identify opportunities, measure product outcomes, and inform product strategy and investment decisions. This is an 18-month short-term contract.
Responsibilities
- Analyze large, complex datasets using statistical and other analytical approaches.
- Apply quantitative analysis, experimentation, and data mining to develop product strategies.
- Set goals, forecast outcomes, and monitor product metrics to assess performance and trends.
- Identify and test opportunities to improve products, and inform roadmaps through insights and recommendations.
- Partner with product, engineering, and cross-functional teams to shape and execute product strategy and investment decisions.
- Communicate findings and recommendations to influence partners and product decisions.
Requirements
- Bachelor’s degree in computer science, computer engineering, mathematics, statistics, or a related technical or quantitative field, or equivalent practical experience; degree must be completed before joining.
- At least 2 years of experience with analytics and data-querying languages such as SQL, scripting languages such as Python, or statistical software such as R.
- At least 2 years of experience solving analytical problems with quantitative methods and leading data-driven projects from definition through execution, including metric definition, experiment design, and communication of actionable insights.
Nice to have
- Experience using AI tools to improve workflows and deliver measurable impact.
- Ongoing development of AI skills, including prompt or context engineering and agent orchestration.
- Experience applying responsible AI practices, such as risk assessment and bias mitigation.
- Master’s or doctoral degree in a quantitative field.
Benefits
- Benefits offered; details are not specified.