ZipRecruiter

Log In

1

Vice President Data Science Jobs (NOW HIRING)

Monogram Health

VP Data Science

Position: Vice President, Data Science Reporting to the Chief Technology Officer, the Vice President of Data Science is a senior technology leader responsible for defining and executing the ...

Monogram Health Inc

VP Data Science

Brentwood, TN · On-site

Position: Vice President, Data Science Reporting to the Chief Technology Officer, the Vice President of Data Science is a senior technology leader responsible for defining and executing the ...

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 ...

Dan Global

VP, Data Science

Manhattan, NY · On-site

$163K - $220K/yr

Measurement Science Leader Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science capability across MMM, RBA, incrementality, forecasting, and market design. You will own ...

Dentsu, Inc.

VP, Data Science

New York, NY · On-site

$163K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science capability across MMM, RBA, incrementality, forecasting, and market design. You will own the science and ...

Dentsu Aegis Network

VP, Data Science

New York, NY

$163K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science capability across MMM, RBA, incrementality, forecasting, and market design. You will own the science and ...

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

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 ...

Five9

Vice President, Data Science

San Ramon, CA · 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 ...

BNY

Vice President, Data Scientist

Pittsburgh, PA · On-site

The Vice President, Data Scientist plays a critical role in driving data-driven decision-making ... This position is situated within the Data Science job family, focusing on the tech-driven function ...

next page

Showing results 1-20

People also search for

All JobsVice President Data Science Jobs

Vice President Data Science information

See salary details

$43.5K

$157.5K

$277.5K

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

As of May 28, 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 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.

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 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.

More about Vice President Data Science jobs
What cities are hiring for Vice President Data Science jobs? Cities with the most Vice President 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 Vice President Data Science jobs? States with the most job openings for Vice President Data Science jobs include:
What job categories do people searching Vice President Data Science jobs look for? The top searched job categories for Vice President Data Science jobs are:
Vice President Data Science jobs near you
Infographic showing various Vice President Data Science job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 100% Physical job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
VP Data Science

VP Data Science

Monogram Health

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Position: Vice President, Data Science
Reporting to the Chief Technology Officer, the Vice President of Data Science is a senior technology leader responsible for defining and executing the organization's data science and AI strategy. This leader transforms data into actionable insights, drives AI/ML innovation, and partners with operational leadership to influence product direction, operational excellence, and business outcomes. The VP of Data Science builds and leads high-performing teams, establishes scalable data science practices, and ensures models and insights are delivered ethically, reliably, and with measurable business impact.
Responsibilities
Strategic Leadership
  • Define and own the enterprise data science vision, roadmap, and operating model aligned with company strategy.
  • Translate business priorities into high-impact analytics, AI, and machine learning initiatives.
  • Serve as an executive advisor on data-driven decision-making, AI adoption, and emerging technologies.
  • Establish success metrics and ROI measurement for data science initiatives.

Organization Leadership
  • Build, mentor, and scale a diverse, high-performing organization of data scientists and ML engineers.
  • Set clear expectations, career paths, and performance standards.
  • Foster a culture of curiosity, rigor, and collaboration.
  • Create an environment where teams are empowered, accountable, and closely connected to the business.

Delivery AI and Machine Learning
  • Oversee the design, development, deployment, and lifecycle management of predictive and prescriptive models.
  • Ensure solutions are production-grade, integrated into applications and workflows, and supported by strong MLOps practices.
  • Partner with engineering teams to embed models into clinical and operational systems.
  • Establish governance, validation, and monitoring processes consistent with HIPAA and HITRUST requirements.

Hands-On Technical Leadership
  • Maintain a hands-on approach to data science and AI, including the ability to write, review, and guide code in modern data science and machine learning stacks.
  • Stay close to the work by participating in model design, experimentation, and technical decision-making-especially for high-impact or clinically sensitive use cases.
  • Provide technical leadership and mentorship by reviewing approaches, validating assumptions, and ensuring analytical rigor and model quality.
  • Partner with data scientists and ML practitioners to unblock complex problems and set technical direction, without micromanaging execution.
  • Serve as a credible technical voice with Data Engineering and Application Development teams on architecture, model deployment, and MLOps practices.
  • Balance hands-on contribution with executive leadership, ensuring the organization benefits from both technical depth and strategic oversight.
  • Lead by example in adopting best practices in machine learning, responsible AI, model explainability, and production readiness in a HIPAA-regulated environment consistent with the HITRUST framework.

Cross-Functional Partnerships
  • Work closely with Data Engineering to ensure data quality, availability, and scalability.
  • Collaborate with Application Development to embed analytics and models directly into workflows and products.
  • Align on architecture, tooling, and MLOps practices that support both innovation and operational excellence.

What Success Looks Like
  • Data science solutions are embedded into daily clinical and operational workflows, not siloed.
  • Operation leaders and clinicians trust and rely on ML/AI to guide decisions.
  • Models and insights are delivered quickly, responsibly, and with clear ROI.
  • Data science is seen as a strategic partner, not a support function

Position Requirements
  • Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, or similar).
  • 10+ years of experience in data science, analytics, machine learning, or applied AI, with 3+ years in senior leadership roles.
  • Proven track record of delivering data science solutions with clear business impact at scale.
  • Deep expertise in statistical modeling, machine learning, and experimental design.
  • Experience operationalizing models in production environments.
  • Demonstrated success delivering ML or advanced analytics solutions in healthcare.
  • Strong executive communication and stakeholder-management skills.

Benefits
  • Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts
  • Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources
  • Time Off & Leave - Paid holidays, flexible vacation time/PSSL, and paid parental leave
  • Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts

About Monogram Health
Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram Health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders.
Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home.
Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Apply