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Vp Data Science Jobs (NOW HIRING)

Coterie Applications, Inc.

VP, Data Science

The VP, Data Science will lead Coterie's data science and research functions within the broader Data and Analytics (DnA) organization. Furthermore, the VP, Data Science will develop and mentor a team ...

Chubb

VP, Data Science - Cohort Modeling

Jersey City, NJ · On-site

$163K - $237K/yr

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team, bringing advanced expertise in pricing modeling, product development, rating architecture, and model ...

Chubb

VP, Data Science - Cohort Modeling

Jersey City, NJ · On-site

$163K - $237K/yr

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team, bringing advanced expertise in pricing modeling, product development, rating architecture, and model ...

Five9

Vice President, Data Science

As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that ...

Five9

Vice President, Data Science

San Ramon, CA

As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that ...

Five9

OR

As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that ...

Equation Staffing

VP of Data Science

Manhattan, NY · On-site

VP Data Science As the VP of Data Science, you'll play a critical role in building a data-driven culture and driving strategic initiatives. You'll leverage a rich data-set built on a mature data ...

Experian

Learn more at experianplc.com The Senior Vice President, Data Science & Analytics (North America) will have holistic responsibility for all data science and analytics functions of the Financial ...

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All JobsVp Data Science Jobs

Vp Data Science information

See salary details

$41.5K

$142.5K

$201K

How much do vp data science jobs pay per year?

As of Jun 21, 2026, the average yearly pay for vp data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science, and why are they important?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

More about Vp Data Science jobs
What cities are hiring for Vp Data Science jobs? Cities with the most Vp 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 Vp Data Science jobs? States with the most job openings for Vp Data Science jobs include:
What job categories do people searching Vp Data Science jobs look for? The top searched job categories for Vp Data Science jobs are:
Vp Data Science jobs near you
Infographic showing various Vp Data Science job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

VP, Data Science

Coterie Applications, Inc.

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Who we are:
Through a partnership-based approach, Coterie helps insurance professionals unlock untapped revenue in the small commercial space. With an innovative quoting platform that delivers accurate pricing and bindable quotes in less than one minute, Coterie makes small business insurance effortless.
We are on a mission to build and foster a world-class team to bring speed, simplicity, and service to commercial insurance. We value integrity, humility, passion, and intelligence. If you want to push yourself and reshape a $200B+ market, we're excited to talk to you!
Position Summary:
The VP, Data Science will lead Coterie's data science and research functions within the broader Data and Analytics (DnA) organization. Furthermore, the VP, Data Science will develop and mentor a team of highly technical individual contributors and people leaders while setting priorities for the design, documentation, review and delivery of high-quality data science products such as APIs, experiments, interactive data applications, predictive models, reports and automated workflows.
Key Responsibilities:
  • Own the roadmaps for the data science and research and development (R&D) subdomains of DnA
  • Partner with key stakeholders in compliance, data, engineering, insurance, revenue and security to translate business needs into data science and R&D priorities
  • Clearly communicate strategy, progress, risks and recommendations to executive audiences, technical teams and non-technical stakeholders
  • Guide data science and R&D subdomains through complex tradeoffs involving business impact, explainability, regulatory considerations, rigor, scalability and speed
  • Champion a culture of accountability, collaboration, continuous improvement and intellectual curiosity while ensuring the team remains focused on enterprise priorities rather than isolated technical outputs
  • Serve as a senior-level people leader within DnA; responsible for career development, performance expectations and succession plans that support sustainable growth
  • Evaluate and improve the tools, processes, metrics and partnerships needed to scale data science and R&D capabilities efficiently across Coterie

Required Qualifications:
  • Master's degree or higher in Computer Science, Data Science, Economics, Engineering, Mathematics, Operations Research, Statistics or a related quantitative field
  • 10+ years of professional data science experience
  • 5+ years of experience managing data teams including coaching, hiring, leadership development, organizational design and performance management; demonstrated success establishing and maintaining accountability, scaling processes and teams
  • Strong executive presence and communication skills including the ability to explain complex analytical concepts, model tradeoffs, research outcomes and strategic recommendations to senior stakeholders
  • Deep understanding of the data science lifecycle including problem framing, exploratory analysis, experimentation, model development, testing, deployment, monitoring, governance and business impact measurement
  • Strong cross-functional leadership skills with a track record of partnering effectively with compliance, data, engineering, insurance, revenue and security teams
  • Technical fluency with technologies such as AWS/Azure/GCP, Databricks, Posit and scripting languages (Python, R, SQL)
  • Technical fluency with topics such as AI agents and systems, experimental design, LLMs, MLOps, ModelOps

Bonus Skills/Experience:
  • Experience developing and deploying AI-based products in production
  • Experience leading teams developing and deploying AI-based products in production
  • Experience leading or partnering with applied research, experimentation, innovation or R&D teams that explore new data sources, methodologies and technologies
  • Experience partnering with actuarial, claims, credit, pricing or underwriting teams
  • Experience working in regulated industries such as banking, financial services, healthcare, insurance or related environments with meaningful audit, compliance, governance, and risk expectations

Our interview process:
Our hiring process generally consists of 4 phases. The goal is to provide an opportunity for us to learn more about our candidates while allowing them to get to know us as well!
  • Phase 1: Qualified candidates will first meet with a member of our People Operations team for a phone interview. This discussion is a high-level conversation to understand more about your background and interests and for us to share more about Coterie and the position.
  • Phase 2: Selected candidates will be invited to participate in an experiential exercise interview with the hiring manager. This will include a project provided in advance along with a 1.5-hour interview conducted with our hiring manager.
  • Phase 3: Top candidates will be invited to meet with members of our Data & Analytics (DnA) team. This stage consists of two separate 45-minute team interviews, for a total of 1.5 hours.
  • Phase 4: Final candidates will be invited to a 30-minute interview with a senior member of our leadership team.

What's in it for you:
Coterie has excellent benefits for all full-time employees. We offer the following:
  • 100% remote
  • Health insurance through Aetna (we pay 100% of premiums)
  • Dental and vision insurance through Guardian (we pay 100% of premiums)
  • Basic life insurance (we pay 100% of premiums)
  • Access to flexible spending account (FSA) or health savings account (HSA) (for those using HSA eligible plans)
  • 401K plan (up 4% match with immediate vest). Must be 21 years of age or older to participate
  • Flexible PTO is expected to align with business needs and generally does not exceed approximately 5 weeks per calendar year.
  • 12 company-paid holidays each year
  • Continuing education annual stipend
  • Annual salary estimated between $185,000-$250,000 based on national data. Candidates who meet all the minimum requirements and possess additional relevant experience, as outlined in the job description, may be considered for a salary above the midpoint of the above range. Salary is based on internal equity; internal salary ranges; market data/ranges; applicant's skills; prior relevant experience; degrees or certifications, etc.

Work Authorization:
At this time, Coterie Insurance is unable to consider candidates who require current or future visa sponsorship. Applicants must have authorization to work in the United States without the need for sponsorship now or in the future. Falsification of an application, including work authorization status, is immediate grounds for dismissal from consideration.

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