Data Scientist V

Data Scientist V (Product Measurement, Research & Silicon Infrastructure)

This fully remote Senior Data Scientist role will define how specialized research, silicon, engineering lab, and GPU environments are measured. This is a 0-to-1 opportunity to build the goals, metrics, and reporting framework used to evaluate infrastructure usage, capacity, efficiency, and researcher productivity.

You will work closely with a Senior data engineer to turn the measurement strategy into scalable data models, dashboards, and reporting. The ideal candidate has a product analytics background, strong SQL and Python skills, and experience creating measurement frameworks from the ground up. This is a product and strategic measurement role; deep machine-learning experience is not required.

• Define success metrics and organizational goals for specialized research, silicon, lab, and GPU environments.
• Build a measurement framework from the ground up for areas that do not currently have established metrics.
• Analyze usage, demand, capacity constraints, prototyping cycles, and researcher productivity.
• Treat internal infrastructure as a product with users, adoption patterns, friction points, and lifecycle stages.
• Translate ambiguous leadership questions into clear analytical plans and recommendations.
• Partner with a Senior data engineer to develop scalable data models, metric definitions, pipelines, dashboards, and reporting.
• Use SQL and Python to work independently from raw data through actionable insights.
• Present and defend metric definitions and recommendations to Senior engineering and research stakeholders.
• Establish reliable, documented metrics that guide infrastructure planning and investment decisions.

• Senior-level experience as a Product Data Scientist, Product Analyst, or similar analytics professional.
• Experience building metrics, goals, and reporting frameworks for a new or previously unmeasured product or platform.
• Advanced SQL experience with large-scale data warehouses.
• Strong Python skills for analysis and automation using pandas or similar libraries.
• Experience defining metric layers, dashboards, and reusable reporting in partnership with data engineering.
• Applied statistical knowledge for sound inference and experiment-adjacent reasoning.
• Strong stakeholder communication and the ability to influence Senior technical leaders.
• Customer-focused mindset with the ability to connect technical measurements to business and user outcomes.
• Comfort working independently in an ambiguous environment without an established playbook.
• Familiarity with AI-assisted development and analytics tools.

• Experience with hardware, silicon, GPU or compute services, engineering labs, or research infrastructure.
• Experience supporting production engineering, infrastructure, platform, or internal technical products.
• Experience with Tableau, Power BI, or a similar dashboarding platform.

• A measurement and goal framework for the specialized environments exists, is agreed on by leadership, and is in active use.
• Core metrics are productionized with the partnering data engineer rather than maintained by hand.
• Become a trusted measurement partner for research and engineering teams evaluating whether these environments are meeting user and organizational needs.

This role is 100% remote within the United States, with Pacific Time availability strongly preferred. The engagement is expected to continue through December 2027, with potential for extension. You will support researchers, hardware engineers, infrastructure teams, engineering lab owners, and GPU service teams within a highly technical production engineering environment.

• SQL, Python, Product Analytics, Data Science, Strategic Measurement, Data Modeling, Tableau, Power BI, Infrastructure Analytics

• Expert Level

• This posting is for an existing vacancy.
• Cannot support sponsorship at this time

This is a Contract to Hire position based out of Menlo Park, CA.

The pay range for this position is $80.00 - $90.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits…