Remote Senior Product Data Scientist Metrics & Infra

TEKsystems; United States; Remote; USD 110,000 - 124,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan

Life Insurance

Time Off / PTO

Job summary

TEKsystems seeks a Data Scientist V (Product Measurement) for a fully remote role within the United States. You will define how silicon infrastructure and GPU environments are measured, building a metrics framework that guides usage, capacity, efficiency, and researcher productivity.

You will collaborate with a senior data engineer to translate strategy into scalable models and dashboards. The ideal candidate has product analytics background with strong SQL and Python skills, experience creating

Qualifications

• Senior-level data science/analytics experience in a product setting.
• Experience building measurement frameworks for unmeasured products or platforms.
• Advanced SQL with large-scale data warehouses.
• Strong Python for data analysis and automation.

Responsibilities

• Define success metrics and goals for specialized environments.
• Build a measurement framework from scratch where metrics are missing.
• Analyze usage, demand, capacity, prototyping, and researcher productivity.
• Treat internal infrastructure as a product with users and lifecycle stages.
• Translate leadership questions into analytical plans and recommendations.
• Partner with data engineers to develop scalable data models and dashboards.
• Use SQL and Python to derive insights from raw data.
• Present metric definitions and recommendations to senior stakeholders.
• Establish reliable metrics to guide infrastructure decisions.

Skills

SQL

Python

Product Analytics

Data Science

Strategic Measurement

Data Modeling

Tableau

Power BI

Infrastructure Analytics

Tools

Tableau

Power BI

Job description

TEKsystems seeks a Data Scientist V (Product Measurement) for a fully remote role within the United States. You will define how silicon infrastructure and GPU environments are measured, building a metrics framework that guides usage, capacity, efficiency, and researcher productivity.

You will collaborate with a senior data engineer to translate strategy into scalable models and dashboards. The ideal candidate has product analytics background with strong SQL and Python skills, experience creating