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Executive Data Science Startup Jobs (NOW HIRING)

The Knot Worldwide

VP, Data Science

Own executive dashboards and enterprise reporting from Board-level metrics to team-level KPIs ... Advanced Data Science * Lead applied data science across personalization, marketplace dynamics ...

Fannie Mae

Audit Data Science Advisor

Washington, DC

  • Medical

  • Life

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Fanniemae

Audit Data Science Advisor

Reston, VA

  • Medical

  • Life

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Fanniemae

Audit Data Science Advisor

Washington, DC · On-site

  • Medical

  • Life

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

LHi Group Ltd

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

... Startup or hypergrowth company experience Experience with large-scale data systems Strong people ... established data science team Work across machine learning, modeling and production systems ...

Formation Bio

Director, Data Science

Boston, NY

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... Present complex analytical findings to senior stakeholders, including executive leadership About ...

Five9

Vice President, Data Science

OR · On-site +1

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... Internally, you will be expected to meet with product managers, executives and estaff, and be able ...

Chewy

Director, Data Science

Bellevue, WA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will lead a team of data scientists building the intelligence layer across the full advertising ... Exceptional communication: able to influence senior executives and cross-functional partners with ...

Chewy

Director, Data Science

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will lead a team of data scientists building the intelligence layer across the full advertising ... Exceptional communication: able to influence senior executives and cross-functional partners with ...

Five9

Vice President, Data Science

San Ramon, CA · On-site

The data science team is very much applied - their work directly makes its way into real products ... Internally, you will be expected to meet with product managers, executives and estaff, and be able ...

Bet365

Data Science Team Lead/Manager

Denver, CO

We are intentionally recruiting for a specific kind of professional: someone with a startup mindset ... Data Science team. Main Responsibilities: • In this hands-on role you will devise, code, and ...

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Executive Data Science Startup information

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How much do executive data science startup jobs pay per year?

As of Aug 19, 2026, the average yearly pay for executive data science startup in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.
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Executive Data Science Startup jobs near you
Infographic showing various Executive Data Science Startup job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

VP, Data Science

The Knot Worldwide

Remote

Full-time

Re-posted 18 days ago

Job description

ABOUT THE ROLE AND OUR TEAM:The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace. This role is accountable for driving measurable business outcomes - including growth in couple engagement, marketplace liquidity, vendor ROI, and long-term customer value.

You will own the company's experimentation strategy and enterprise BI function, ensuring executives and frontline teams alike have trusted, actionable insights. This role will partner closely with data engineering to build reliable, scalable end-to-end data pipelines that power experimentation, analytics, and executive reporting.

You will be the architect of our measurement engine - turning data into durable competitive advantage in a complex, two-sided marketplace. This is a highly visible leadership role reporting to the CPO and partnering across Product, Engineering, Finance, Marketing, and Sales.

RESPONSIBILITIES:Experimentation & Measurement
  • Define and scale experimentation strategy across a complex two-sided marketplace (couples and vendors).
  • Ensure rigorous A/B testing, incrementality measurement, and causal inference across growth, monetization, ranking, and lifecycle initiatives.
  • Build frameworks that account for cross-side marketplace effects and long-term LTV impact.
  • Establish clear accountability for experimentation outcomes tied to business performance.
Enterprise BI & Analytics
  • Own executive dashboards and enterprise reporting from Board-level metrics to team-level KPIs.
  • Develop and maintain a trusted metrics layer with clear governance and definitions.
  • Improve forecasting, driver trees, and performance diagnostics tied to CPAs, GMV, and marketplace health.
  • Enable scalable self-serve analytics capabilities across the organization.
Advanced Data Science
  • Lead applied data science across personalization, marketplace dynamics, pricing, segmentation, and lifecycle modeling.
  • Develop robust LTV and marketplace health models.
  • Partner with ML teams to ensure strong model evaluation and business impact measurement.
Cross-Functional Partnership
  • Partner closely with Data Engineering to design scalable experimentation infrastructure and data pipelines.
  • Influence architecture decisions without directly owning DE.
  • Serve as a strategic advisor to executive leadership on data-driven growth strategy.
SUCCESSFUL CANDIDATES HAVE: Experience
  • 15+ years in Data Science, Analytics, or quantitative leadership roles.
  • Experience leading BI and analytics in a large, global organization.
  • Demonstrated success operating within a two-sided marketplace or platform business.
  • Proven experience owning experimentation strategy and delivering measurable business impact.
  • Experience partnering with C-suite and Board stakeholders.
Technical Expertise
  • Deep knowledge of experimental design, causal inference, and statistical modeling.
  • Experience building scalable experimentation and analytics ecosystems.
  • Strong fluency in SQL and modern data tools (e.g., Snowflake, Looker, Sigma, Tableau).
  • Strong understanding of marketplace unit economics and LTV modeling.
Leadership
  • Experience building and scaling high-performing Data Science and Analytics teams.
  • Strong cross-functional collaboration skills in matrixed environments.
  • Ability to translate complex quantitative analysis into clear business insights.

WORK MODEL:

This role is fully remote and not tied to any specific office location. While there are no regular in-office requirements, we encourage our remote team members to gather intentionally for key company and team events to stay connected and engaged.

#LI-Hybrid #executive-track

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