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Executive Data Scientist Jobs (NOW HIRING)

Mondo

Data Scientist

Manhattan, NY · On-site

$75 - $80/hr

Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract ... Partner closely with Retail, Digital, Marketing, and executive stakeholders to translate customer ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · On-site

$90 - $96/hr

Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ... executives and to external parties (e.g., representing BPA regionally such to key stakeholders ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... and executives and to external parties (e.g., representing BPA regionally such as to key ...

S27a

Data Scientist

Manhattan, NY · On-site

$120 - $180/hr

Communicate findings through visualizations and executive presentations. Qualifications * Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... and executives and to external parties (e.g., representing BPA regionally such as to key ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine ... Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Develop defensible, well-documented methodologies that stand up to executive scrutiny and support ...

Valid8 Financial, Inc.

Data Scientist

Manhattan, NY · On-site

$120 - $170/hr

Present methodologies, findings, and recommendations to both technical teams and executive stakeholders. Who You Are: * Passionate about solving business problems through data science and artificial ...

Robotics Technologies LLC

Data Scientist

Nashville, TN · On-site

$100 - $130/hr

We are seeking a highly skilled Senior Data Scientist with strong experience in cloud-based data ... S. as a condition of employment except as necessary to comply with law, regulation, executive order ...

AllSTEM Connections

Data Scientist

Manhattan, NY · On-site

$114K - $129K/yr

Senior Data Scientist (Predictive Modeling & Analytics) Role Overview We are seeking a Senior Data ... Additional Skills (none specified) AllSTEM Representative Contact Info Account Executive: Nichols ...

Corning

Data Scientist

Charlotte, NC · On-site

Role Purpose As a Data Scientist, you will serve as a hands-on applied data science contributor ... Prepare clear visualizations, dashboards, and executive-ready materials in Power BI, Excel, and ...

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

Present analytical findings, recommendations, and technical concepts clearly to executive ... Requirements: * Bachelor's degree required in Mathematics, Data Science, Computer Science ...

PACCAR Inc

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Data Scientist Company: PACCAR Requisition Summary As a Data Scientist you'll support the growth of ... Each team member will have the opportunity to present their work to senior executives, helping to ...

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Executive Data Scientist information

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$46K

$165K

$243.5K

How much do executive data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for executive data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an executive data scientist?

An Executive Data Scientist is a senior-level professional who leads data science initiatives within an organization. They are responsible for setting strategic direction, overseeing large-scale data projects, and bridging the gap between technical data teams and business leadership. Their role involves not only advanced analytics and modeling but also communicating insights to stakeholders and ensuring data-driven decisions align with business goals. Executive Data Scientists often manage teams, influence company data strategy, and play a key role in driving innovation and digital transformation.

How does an executive data scientist typically collaborate with leadership and cross-functional teams?

Executive Data Scientists play a strategic role by bridging the gap between data science teams and organizational leadership. They regularly translate complex analytical insights into actionable business recommendations for executives, and work closely with stakeholders across departments such as IT, marketing, and operations. This collaboration ensures that data-driven initiatives align with business objectives and that projects receive the resources and support needed for success. Effective communication and stakeholder management are key aspects of the role, as is mentoring junior data scientists and fostering a culture of innovation.

What are the key skills and qualifications needed to thrive as an executive data scientist, and why are they important?

To thrive as an Executive Data Scientist, you need advanced expertise in data analytics, machine learning, and statistical modeling, usually backed by a master's or PhD in a quantitative field. Familiarity with big data platforms (like Hadoop or Spark), programming languages (Python, R), and data visualization tools, along with certifications such as Certified Analytics Professional (CAP), is highly valued. Leadership, strategic thinking, and the ability to communicate complex insights to non-technical stakeholders are crucial soft skills for this role. These skills ensure effective data-driven decision-making at the executive level, driving business innovation and competitive advantage.

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

AspectExecutive Data ScientistData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic roles, leadership teams, executive meetingsData analysis, model development, technical tasks
Employer & Industry UsageSenior roles in tech, finance, healthcare, and large enterprisesStartups, tech companies, research institutions

Executive Data Scientists focus on strategic decision-making and leadership, often overseeing data teams and aligning data initiatives with business goals. Data Scientists primarily handle technical data analysis, modeling, and insights generation. While both roles require strong analytical skills, Executive Data Scientists combine technical expertise with leadership and strategic planning, making them suitable for senior management positions.

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Executive Data Scientist jobs near you
Infographic showing various Executive Data Scientist 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 $165,018 per year, or $79.3 per hour.

Data Scientist

Mondo

Manhattan, NY • On-site

$75 - $80/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 16 days ago

Job description

Apply now: Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract position. Job Title: Data Scientist, Audience & Growth Location-Type: Hybrid - New York, NY (must currently permanently reside within 50 miles of NYC) Start Date: ASAP Duration: Contract - 6 months Compensation Range: $75-80/hr W2 Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship Job Description: The client is seeking a mid-level Data Scientist to serve as the organization's central data resource, building out a foundational customer model and enabling data-driven decision-making across Retail, Digital, and Marketing teams. Job Summary •MUST have direct customer analytics experience in a data science role •Direct experience with CRM analytics, marketing analytics, and customer lifecycle ownership •Design and build a customer segmentation model that synthesizes behavioral, transactional, and demographic data across multiple customer and user datasets •Translate segmentation model outputs into actionable audience profiles and cohorts that can be operationalized by marketing and digital teams •Analyze patterns across the customer lifecycle, including awareness, acquisition, engagement, lapse, and reactivation, to surface audience and revenue growth opportunities •Partner with stakeholders across Retail, Digital, and Marketing to frame business questions and deliver data-driven recommendations on pricing, experience, and communication strategies •Design and implement an experimentation framework for testing marketing campaigns, digital experiences, and activation offers, including defining success metrics and ensuring statistical validity •Build dashboards and reports that make key metrics accessible to non-technical partners and leadership •Maintain and iterate on segmentation models and reporting as audience strategy evolves over time Minimum Requirements: •3-5 years of experience in a data science role •Strong background in customer data, including demonstrated experience building segmentation models such as clustering and RFM analysis •Proficiency in Python or R, and SQL •Solid understanding of customer KPIs including LTV, churn, and retention, with hands-on experience applying them in a business context •Ability to communicate complex data findings clearly to non-technical stakeholders and leadership across multiple departments
  • Serve as the subject matter expert for customer analytics by building customer segmentation models and analyzing behavioral, transactional, CRM, and demographic data to uncover insights that drive audience growth, engagement, retention, and marketing strategy. Partner closely with Retail, Digital, Marketing, and executive stakeholders to translate customer lifecycle analytics—including acquisition, engagement, churn, retention, lifetime value (LTV), and customer journey insights—into actionable business recommendations and measurable outcomes.
  • MUST have direct customer analytics experience as a data scientist.
•Experience with A/B testing and experimental design, including sample sizing and statistical inference
  • Local to NYC
Preferred Qualifications: •Deep familiarity with customer data spanning retail, membership, or a recurring-funnel business model •Experience with BigQuery or Google Cloud Platform •Experience with dbt, Dataform, or similar data transformation tools •Experience with Looker or comparable BI tools •Experience with Git or similar source version control tools