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Added 15 mins ago
A
Management Analyst
Alluvionic
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- $79,542 to $101,385 USD / year
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Financial Systems Analyst
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Added 16 mins ago
T
Data Scientist V
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Menlo Park, CA
- $80 to $90 USD / hour
Senior -level experience as a Product Data Scientist, Product Analyst, or similar analytics professional.
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TEKsystems

Data Scientist V

Menlo Park, CA, United States

$80 to $90 USD / hour

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Job details

Pay: $80 to $90 USD / hour
Posting language: English
Posted: Oct 8, 2026

Original 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 job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time 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.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

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.

About TEKsystems and TEKsystems Global Services

Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard 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.

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More about this job

Skills

Research
Data models
Reporting
SQL
Python
Leadership
Work independently
pandas
Data engineering
Communication skills
Tableau
Microsoft Power BI
Google Analytics
Data modelling

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