Data Scientist V

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

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

Job Description:

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.

Responsibilities:

• 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.

Must Haves:

• 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.

Nice to Haves:

• 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.

What success looks like in the first year:

• 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.

Work Environment:

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.

Skills:

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

Experience Level:

• Expert Level

Note:

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

Job Type & Location

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

Pay and Benefits

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 jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:Medical, dental & visionCritical Illness, Accident, and Hospital401(k) Retirement Plan Pre-tax and Roth post-tax contributions availableLife Insurance (Voluntary Life & AD&D for the employee and dependents)Short and long-term disabilityHealth Spending Account (HSA)Transportation benefitsEmployee Assistance ProgramTime Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Oct 21, 2026.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.