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Vice President 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 · On-site

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

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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How much do vice president data science jobs pay per year?

As of Jun 17, 2026, the average yearly pay for vice president data science in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Vice President of Data Science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

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

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What does a Vice President of Data Science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What Does a Vice President of Data Science Do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

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Vice President Data Science jobs near you

VP, Data Science

Coterie Applications, Inc.

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 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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