Data Scientist

Description

Job Description:

Support end-to-end campaign audience build, measurement, and reporting for prioritized Growth Marketing campaigns translating marketing objectives into audience specifications, measurement requirements, and dashboards that campaign owners can act on.

Core Responsibilities

Campaign audience builds translate eligibility and targeting criteria into audience specs, size audiences, validate against holdout and targeting logic, and re-validate after platform changes.

Measurement & reporting requirements define campaign signals, KPIs, and reporting specifications per campaign; feasibility-check proposed solutions with stakeholders before build.

Dashboards & QA build and maintain campaign dashboard suites (operational visibility plus quarterly performance reporting), monitoring and alerting, and automated QA frameworks; update pipelines when data sources change.

Campaign triage identify measurement and reporting gaps, drive resolution with MarTech and Data Engineering, and document outcomes.

Insights & readouts ad hoc analyses, performance deep-dives, and quarterly reporting packages.

Documentation keep runbooks, troubleshooting guides, and the team knowledge repository current.

Automation & AI-assisted workflows identify repeat manual steps in campaign build and reporting and automate them, including AI/agent-based analytical workflows where appropriate.

Must have:

experience in analytics or data science marketing analytics, growth/campaign analytics, CRM analytics, product analytics, or a quantitative data science role.

Degree or equivalent practical background in a quantitative field (statistics, economics, mathematics, computer science, engineering, or similar).

Advanced SQL able to write performant queries against large, messy datasets and build reproducible, well-documented logic.

Python (or R) for analysis and automation: data wrangling, scripting, and repeatable reporting.

Applied statistics experiment design, A/B testing, significance and power, incrementality and holdout measurement, and the judgment to know when a result is not real.

Hands-on dashboarding and data modeling; comfortable owning a pipeline or dashboard end-to-end, not only consuming one.

Demonstrated ability to take an ambiguous marketing question, scope it into an analytical plan, and deliver a recommendation non-technical stakeholders can act on.

Works autonomously across multiple concurrent campaign timelines with limited direction.

Nice to day:

AI/ML experience practical use of LLMs or agentic tooling to accelerate analysis, reporting, or QA (prompt design, agent workflows, evaluating output quality), and/or applied ML such as propensity and lifetime-value modeling, segmentation, uplift modeling, or forecasting.

Causal inference beyond basic A/B testing difference-in-differences, geo experiments, synthetic control, matching.

Marketing automation / martech platform exposure Salesforce-type marketing clouds, email and messaging channels, audience management tools.

Lifecycle or CRM marketing measurement at scale; familiarity with funnel metrics (CTR, conversion, adoption, retention).

Data engineering adjacency dbt-style modeling, orchestration, pipeline reliability, and data quality tooling.

SMB or B2B marketing background .

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

Skills

data science, sql

Top Skills Details

data science,sql

Additional Skills & Qualifications

Must have:

experience in analytics or data science marketing analytics, growth/campaign analytics, CRM analytics, product analytics, or a quantitative data science role.

Degree or equivalent practical background in a quantitative field (statistics, economics, mathematics, computer science, engineering, or similar).

Advanced SQL able to write performant queries against large, messy datasets and build reproducible, well-documented logic.

Python (or R) for analysis and automation: data wrangling, scripting, and repeatable reporting.

Applied statistics experiment design, A/B testing, significance and power, incrementality and holdout measurement, and the judgment to know when a result is not real.

Hands-on dashboarding and data modeling; comfortable owning a pipeline or dashboard end-to-end, not only consuming one.

Demonstrated ability to take an ambiguous marketing question, scope it into an analytical plan, and deliver a recommendation non-technical stakeholders can act on.

Works autonomously across multiple concurrent campaign timelines with limited direction.

Nice to day:

AI/ML experience practical use of LLMs or agentic tooling to accelerate analysis, reporting, or QA (prompt design, agent workflows, evaluating output quality), and/or applied ML such as propensity and lifetime-value modeling, segmentation, uplift modeling, or forecasting.

Causal inference beyond basic A/B testing difference-in-differences, geo experiments, synthetic control, matching.

Marketing automation / martech platform exposure Salesforce-type marketing clouds, email and messaging channels, audience management tools.

Lifecycle or CRM marketing measurement at scale; familiarity with funnel metrics (CTR, conversion, adoption, retention).

Data engineering adjacency dbt-style modeling, orchestration, pipeline reliability, and data quality tooling.

SMB or B2B marketing background .

Experience Level

Expert Level

Job Type & Location

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

Pay and Benefits

The pay range for this position is $65.00 - $75.00/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)

Job Type & Location

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

Application Deadline

This position is anticipated to close on Nov 3, 2026.

Workplace Type

This is a fully remote position.

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.