1

Vice President Data Science Jobs (NOW HIRING)

As the SVP Data Scientist for Personal Lines (PRS), you will: * Collaborate with business partners to design end-to-end processes that solve business challenges * Lead a team of Data Engineers and ...

SVP, Data Science

Boston, MA · On-site

$249K - $333K/yr

As the SVP Data Scientist for Personal Lines (PRS), you will: * Collaborate with business partners to design end-to-end processes that solve business challenges * Lead a team of Data Engineers and ...

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 ...

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 ...

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 ...

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 ...

VP, Data Science

$235K - $336K/yr

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace. This role is accountable for driving measurable ...

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 ...

next page

Showing results 1-20

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 Jul 9, 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.

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:
Infographic showing various Vice President Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Vice President, Data Science

Publicis Groupe Holdings B.V

Manhattan, NY • On-site

$163K - $261K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

Company Description
Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.
Groupe Solutions is an accelerant at the center of the Groupe. Made up of audience
strategists, data scientists, and analytics practitioners, Groupe Solutions will partner with
Groupe leaders to win or retain strategic accounts, and serve as business owners of CoreAI.
Overview
The VP, Data Scientist at Alpha Labs will collaborate with audience strategist and marketing
technologists to identify and activate data driven applications across a connected
consumer journey. This role will operate at the leading edge of new business pursuits and
strategic innovation-uncovering white space opportunities and architecting breakthrough,
data-driven audience solutions that differentiate Publicis Groupe in the market.
The VP, Data Scientist will partner across the broader company to spearhead
groundbreaking AI-driven advertising solutions. This includes contributing thinking on new
business pitches and key client engagements to innovate never-been-done-before
solutions. Collaborating with Groupe Solutions leads and business development teams to
employ Publicis AI products and exclusive data tools.
Responsibilities
The ideal candidate will:
  • Partner with Audience Strategy leads to identify and model audience whitespace
  • opportunities using first- and third-party data, syndicated research, and behavioral
    signals.
  • Design and deploy predictive segmentation, targeting, and measurement models to
    fuel innovative campaign strategies and new business pursuits.
  • Build Python-based data science solutions and deploy to Databricks, AWS and Azure
    environments to scale strategic audience solutions.
  • Translate complex datasets into compelling visualizations, frameworks, and
    narratives that differentiate Publicis Groupe in competitive pitch environments.
  • Collaborate with creative, media, and technology partners to embed data science
    outputs into end-to-end communication planning.
  • Evolve and co-develop proprietary audience intelligence tools in collaboration with
    CoreAI, enhancing Groupe-level product innovation.
  • Actively contribute to strategic responses in RFPs and pursuits-applying data
    science to unlock bold, bespoke audience experiences.

Your Impact:
  • Strategic Edge in New Business: Use machine learning and advanced modeling to
    drive white space identification and predictive audience planning that wins pitches.
  • Innovation Engine: Help architect new solutions that blend AI, insight, and data
    storytelling into a differentiating market position.
  • Collaboration Catalyst: Act as a bridge between technical development and
    strategic application-making complex models understandable and actionable for
    stakeholders.
  • Product Builder: Shape the future of Publicis' audience intelligence and data science
    products alongside product and business development teams.

Qualifications
  • 7-10 years of experience in Python programming and data analysis (Pandas, NumPy,
    Scikit-learn), ideally within a media, marketing, or tech context.
  • Advanced skills in regression, predictive modeling, statistical inference, and
    experimental design.
  • Familiarity with Marketing Mix Models, attribution techniques, and consumer
    behavior datasets.
  • Experience visualizing insights for C-level or new business audiences; ability to
    translate data into decision-making tools.
  • Proven experience deploying applications and models into cloud environments,
    Databricks experience a plus.
  • Strong interpersonal skills with the ability to operate in high-pressure, fast-paced environments (e.g., pitch rooms, RFP war rooms).

Additional Information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
Compensation Range: $163,210 - $261,660 Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be September 10th, 2025.
All your information will be kept confidential according to EEO guidelines.
Veterans Encouraged to Apply.
#LI-RM3
#DNI
Compensation Range: USD $ - . This is the pay range the Company believes it will pay for this position at the time of this posting. This role may also be eligible for bonus or incentive compensation. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 6/14/2025.