1

Executive Data Science Startup Jobs (NOW HIRING)

Founders includes former executives from some of the world's top organizations, including the ... startup environment. Program Details: Evolver is launching a small, highly selective summer ...

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights.

What You'll Do * Lead and mentor a high-performing data science team, balancing individual ... Background at a startup or hypergrowth company (Series A-C stage or equivalent). * Experience in ...

New

Director of Data Science

Mountain View, CA · On-site

$174K - $299K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are proud to have the best of both worlds - a startup culture with the resources of a large ... Experience partnering with executive stakeholders and driving strategic initiatives Pay & Benefits ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

Director of Data Science

Mountain View, CA · On-site

$174K - $299K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are proud to have the best of both worlds - a startup culture with the resources of a large ... Experience partnering with executive stakeholders and driving strategic initiatives Pay & Benefits ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

Data Science Manager

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Executive Communication: Persuasively communicate your team's findings and strategic ... Experience in startup or high-growth environments Tapestry Values: * Take charge: We take ...

Data Science Manager

Mountain View, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Executive Communication: Persuasively communicate your team's findings and strategic ... Experience in startup or high-growth environments Tapestry Values: * Take charge: We take ...

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

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 ...

Showing results 21-40

Executive Data Science Startup information

See salary details

$26.5K

$93.6K

$184K

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.
More about Executive Data Science Startup jobs

What cities are hiring for Executive Data Science Startup jobs?

Cities with the most Executive Data Science Startup job openings:

What are the most commonly searched types of Data Science Startup jobs?

The most popular types of Data Science Startup jobs are:

What states have the most Executive Data Science Startup jobs?

States with the most job openings for Executive Data Science Startup jobs include:

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.

Applied Data Science Intern

Evolver

Palo Alto, CA • On-site

Full-time, Internship

Re-posted 15 hours ago


Job description

Applied Data Science Summer Internship 

About Us:

Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.

Program Details:

Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.

  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:

Interns will contribute to real data innovation projects involving:

  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.

Mentorship & Learning

Interns will work closely with experienced staff and technical mentors with expertise in:

  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:

  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:

We welcome applications from:

  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.

Strong candidates typically demonstrate:

  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.