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Vice President Of Data Science Jobs (NOW HIRING)

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable ...

Attain

VP of Data Science

Chicago, IL · On-site

About the role As Attain's VP of Data Science, you'll own the science behind our products, and be the person clients and partners trust when they want to stress-test our numbers. Attain ...

Socket.dev

VP of Data Science

Chicago, IL · On-site

$180 - $320/hr

About the role As Attain's VP of Data Science, you'll own the science behind our products, and be the person clients and partners trust when they want to stress‑test our numbers. Attain ...

New

Read AI

VP of Data Science (Seattle)

Seattle, WA · On-site

$230K - $250K/yr

Overview We are seeking a strategic and hands-on VP of Data Science to lead Read AI's core technical foundation across AI, machine learning, and data engineering. This role will oversee a growing ...

PlayAGS, Inc.

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data ... Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field ...

ButterflyMX, Inc

Vice President of Data

The VP of Data will establish Snowflake and the governed data layer as the company's source of truth. Every important business entity will have a trusted golden record. Every critical metric will ...

IMG Academy

VP, Data

Bradenton, FL · On-site

$180 - $280/hr

The VP owns the strategy, execution, and evolution of the enterprise data roadmap, overseeing data infrastructure, business intelligence, analytics, and data science capabilities that enable ...

IMG Academy

VP, Data (Bradenton)

Bradenton, FL · On-site

$125K - $160K/yr

The VP owns the strategy, execution, and evolution of the enterprise data roadmap, overseeing data infrastructure, business intelligence, analytics, and data science capabilities that enable ...

Socket.dev

VP of Data Product

Chicago, IL · On-site

$180 - $320/hr

About the Role We're hiring a VP of Data Product to own our data as a business: the strategy ... Marketing science feeds - our consumer permissioned transaction data, delivered at the merchant ...

New

Countryway Insurance Co.

$228 - $240/hr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Science, or a related field; advanced degree preferred or equivalent experience. * 12+ years of ...

Virginia Farm Bureau

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Science, or a related field; advanced degree preferred or equivalent experience. * 12+ years of ...

Virginia Farm Bureau

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Science, or a related field; advanced degree preferred or equivalent experience. * 12+ years of ...

Attain

VP of Data Product

Chicago, IL · On-site

About the Role We're hiring a VP of Data Product to own our data as a business: the strategy ... Marketing science feeds - our consumer permissioned transaction data, delivered at the merchant ...

AXS

VP, Data Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

Success in this role requires close partnership with the SVP of Software Engineering, CTO, Data Science, Product, and business stakeholders, as well as the ability to inspire, grow, and scale a world ...

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Vice President Of Data Science information

See salary details

$43.5K

$157.5K

$277.5K

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

As of Sep 6, 2026, the average yearly pay for vice president of 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?

A Vice President of Data Science leads the strategy, development, and implementation of data science initiatives within an organization. They oversee teams of data scientists and analysts, manage large-scale data projects, and work closely with other executives to align data-driven insights with business goals. This role also involves setting best practices for data management, ensuring the quality of analytics outputs, and driving innovation through the use of advanced analytics and machine learning techniques.

What are the key skills and qualifications needed to thrive as a vice president of data science?

To thrive as a Vice President of Data Science, you need advanced expertise in machine learning, statistics, data strategy, and leadership, typically supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with big data platforms (such as Hadoop, Spark), cloud solutions (AWS, Azure), and relevant programming languages (Python, R), as well as certifications in data science or cloud architecture, are commonly required. Exceptional communication, strategic thinking, and team management skills set top performers apart in this role. These abilities enable effective data-driven decision-making, innovation, and alignment of analytics initiatives with organizational goals.

How does a vice president of data science typically collaborate with other executive leaders within an organization?

A Vice President of Data Science frequently partners with other executive leaders—such as the CTO, CIO, and business unit heads—to align data initiatives with broader organizational goals. This collaboration involves translating business challenges into data-driven solutions, setting strategic priorities, and ensuring that data science projects deliver measurable value. Regular communication, cross-functional meetings, and joint planning sessions are common, as the VP of Data Science is responsible for both advocating for advanced analytics and integrating insights into company-wide decision-making. Building strong relationships with other leaders is key to driving adoption and maximizing the impact of data science across the business.

What is the difference between Vice President Of Data Science vs Data Science Director?

AspectVice President Of Data ScienceData Science Director
ResponsibilitiesStrategic leadership, setting data science vision, executive decision-makingManaging data science teams, project oversight, implementing strategies
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience, leadership skillsSimilar credentials, focus on technical expertise and team management
Work EnvironmentExecutive-level, cross-department collaboration, high-level planningOperational, team-focused, project execution
Industry UsageCommon in large organizations, strategic rolesFound in mid-to-large companies, tactical roles

The Vice President Of Data Science focuses on strategic leadership and high-level decision-making, while the Data Science Director manages teams and executes data projects. Both roles require advanced education and experience, but the VP role is more executive-oriented, whereas the Director is more hands-on with daily operations.

What cities are hiring for Vice President Of Data Science jobs?

Cities with the most Vice President Of Data Science job openings:

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

The most popular types of Of Data Science jobs are:

What states have the most Vice President Of Data Science jobs?

States with the most job openings for Vice President Of Data Science jobs include:

Vice President Of Data Science jobs near you
Infographic showing various Vice President Of Data Science 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

VP of Data Science

Kaizen Analytix LLC

Atlanta, GA • On-site

Full-time

Re-posted 27 days ago

Key responsibilities

  • Coordinate multiple client analytics engagements involving custom and packaged solutions.

  • Oversee delivery teams and guide project workstream leaders to solve business problems through analytics.

  • Present insights to clients and leadership, and support sales and business development activities.

Job description

Original Post Date: 4/3/2026
VP of Data Science
Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a VP of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities:
Coordinate multiple client analytics engagements - consisting of both custom and packaged analytics solutions by...
  • Overseeing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
  • Guiding project workstream leaders
  • Solving business problems through excellent decision-making and innovative, strategic ideas
  • Implementing solutions in either client or Kaizen environments

Capabilities for Success:
Candidate should demonstrate an ability to...
  • Understand business context of analytics solution: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents
  • Coordinate teams of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements and internal projects
  • Provide thought leadership and guidance for multi-variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization etc.
  • Present high-level insights to client teams (project leadership to executive-level) and Kaizen leadership
  • Facilitate and foster interaction between client and Kaizen teams
  • Supervise contributions to the KA proprietary solution library - KaizenValueAccelerators (KVAs) and suggest new capabilities in terms of mathematical models, solution frameworks, etc.
  • Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
  • Continously enhance working knowledge of new models and solution techniques which could be leveraged across projects, look for cross-industry applicability
  • Efficiently coordinate delivery team and client leadership (both business and technical domains) through ambiguity of business process, organization change, and detailed requirements
  • Provide industry-specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models
  • Support sales and business development activities for both existing and new clients
  • Participate in group leadership, provide leadership for a part of the overall group including all administrative tasks required
  • Contribute to Kaizen's knowledge capital by writing articles and presenting at industry conferences

Job Requirements:
  • Education and Experience
  • Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience, OR
  • Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of relevant professional experience
  • Expertise in three or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
  • Excellent written and verbal communication and presentation skills
  • Thorough understanding of all and a minimum of 5 years of expert level experience in four or more of the following: Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB
  • Highly proficient in all Microsoft Office applications
  • Ability to structure and analyze large data sets
  • Thorough understanding of Data Visualization tools (Tableau and Power BI preferred)
  • Through understanding of Agile project management methodology
  • Ability to travel as dictated by business needs

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