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Executive Data Science Jobs (NOW HIRING)

Weekday AI

Data Science Expert

$120 - $170/hr

We are seeking experienced Data Science Experts to help evaluate how effectively AI performs real ... Executive recommendations and business insights * Evaluate AI-generated and human-produced work ...

Fannie Mae

Audit Data Science Advisor

Washington, DC

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

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

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 ...

Formation Bio

Director, Data Science

Boston, NY · On-site

$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

OR

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 ...

Five9

Vice President, Data Science

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 ...

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 ...

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Executive Data Science information

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$26.5K

$93.6K

$184K

How much do executive data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for executive data science 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.

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

What is the role of an executive data scientist?

An executive data scientist leads data science initiatives within an organization, translating complex data insights into strategic decisions. They often oversee teams, communicate findings to stakeholders, and require strong skills in analytics, leadership, and business acumen, along with proficiency in tools like Python, R, or SQL. Their role involves aligning data projects with organizational goals and ensuring impactful results.

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.
More about Executive Data Science jobs
What cities are hiring for Executive Data Science jobs? Cities with the most Executive Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Executive Data Science jobs? States with the most job openings for Executive Data Science jobs include:
What job categories do people searching Executive Data Science jobs look for? The top searched job categories for Executive Data Science jobs are:
Executive Data Science jobs near you
Infographic showing various Executive Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Data Science Expert

Weekday AI

Remote

$120 - $170/hr

Part-time

Posted 10 days ago

Job description

This role is for one of our clients
Compensation: $120-$170 per hour
Join a leading AI research organization working on the next generation of intelligent systems. We are seeking experienced Data Science Experts to help evaluate how effectively AI performs real-world data science tasks. Rather than building models or delivering business analyses yourself, you will define what high-quality work looks like by creating robust evaluation frameworks and assessing AI-generated outputs with structured, evidence-based feedback.
This is an excellent opportunity to apply your industry expertise to improve advanced AI systems while influencing how they reason through complex analytical problems.
Requirements
Key Responsibilities
  • Design detailed, task-specific evaluation criteria for real-world data science deliverables, including:
    • Data analyses
    • Predictive and statistical models
    • Dashboards and visualizations
    • Experiment results
    • Executive recommendations and business insights
  • Evaluate AI-generated and human-produced work using objective scoring frameworks.
  • Provide detailed written justifications for each evaluation, ensuring consistency and technical accuracy.
  • Apply sound analytical judgment to produce reproducible and defensible assessments.
  • Incorporate structured reviewer feedback and continuously refine evaluation methodologies.
  • Collaborate with cross-functional teams to improve AI training quality and evaluation standards.
Required Qualifications
  • 5+ years of professional experience in Data Science within an industry environment.
  • Strong background in business operations, product analytics, growth analytics, or similar data science functions at technology-driven organizations.
  • Deep expertise in:
    • Experimental design and A/B testing
    • Statistical analysis
    • SQL and Python
    • Metric development and performance measurement
    • Translating analytical findings into business recommendations
  • Excellent written communication skills with the ability to clearly explain technical reasoning.
  • Exceptional attention to detail and the ability to evaluate work consistently against structured rubrics.
  • Comfortable receiving feedback and calibrating evaluation standards with peer reviewers.
Preferred Qualifications
  • Experience contributing to AI evaluation, model training, human feedback, or data annotation initiatives.
  • Familiarity with large language models (LLMs), AI-assisted analytics, or machine learning workflows.
  • Experience reviewing technical work or mentoring analytical teams is a plus.
Application Process
  • Submit your resume or relevant technical background to begin the application process.
  • Qualified candidates may be invited to complete a short technical assessment or provide additional information relevant to their expertise.
Why Join?
  • Contribute to the development of next-generation AI systems used for real-world analytical reasoning.
  • Apply your professional data science expertise to high-impact AI evaluation projects.
  • Work remotely with flexible scheduling.
  • Collaborate with a network of experienced technical professionals helping define the future of AI quality and reasoning.

We welcome applicants from all backgrounds and are committed to providing equal opportunities and reasonable accommodations throughout the recruitment process.
Contract Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • Project duration may be extended or concluded based on project requirements and performance.
  • Weekly payments based on approved work completed.
  • Please note that H1-B and STEM OPT sponsorship is not available for this engagement.

Apply