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Vp Of Data Science Jobs in California (NOW HIRING)

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 ...

AXS

VP, Data Engineering

San Francisco, CA · On-site

$212K - $273K/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 ...

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 ...

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 ...

AXS

VP, Data Engineering

San Francisco, CA · On-site

$212K - $273K/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 ...

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 ...

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Vp Of Data Science information

See California salary details

$41K

$140.6K

$198.4K

How much do vp of data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for vp of data science in California is $140,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $164,300.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science is a senior executive responsible for leading an organization's data science strategy and teams. They oversee the development and implementation of data-driven solutions, manage data scientists and analysts, and collaborate with other business leaders to leverage data for strategic decision-making. Their role often includes setting the vision for data initiatives, ensuring the use of best practices in analytics and machine learning, and driving innovation through data. Additionally, they are responsible for aligning data science projects with overall business goals and ensuring measurable impact.

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

To thrive as a VP of Data Science, you need deep expertise in statistical modeling, machine learning, and data analytics, backed by an advanced degree in a quantitative field and substantial leadership experience. Familiarity with tools such as Python, R, SQL, cloud platforms, and data visualization systems, as well as experience with data governance frameworks, is typically required. Exceptional communication, strategic vision, and the ability to mentor and lead cross-functional teams are vital soft skills in this role. These skills ensure the effective translation of data-driven insights into business strategies and foster innovation and alignment within the organization.

What are some common challenges faced by a VP of Data Science when leading cross-functional teams?

A VP of Data Science often navigates challenges such as aligning data science initiatives with business goals, managing expectations across departments, and fostering effective communication between technical and non-technical stakeholders. Balancing the need for innovation with practical deliverables can be complex, especially when integrating data-driven insights into existing business processes. Successful VPs build strong relationships with product, engineering, and executive teams to ensure that data science projects deliver measurable value and support organizational growth.

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

AspectVp Of Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project execution, mentoring data scientists
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data science and leadershipRelevant experience in data science, leadership skills, often a master's degree
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational, project-focused, team management within data science teams

The Vp Of Data Science holds a senior leadership role focused on strategic direction and organizational impact, while a Data Science Manager concentrates on managing teams and executing projects. Both roles require strong technical backgrounds, but the Vp's scope is broader, involving high-level decision-making and cross-functional collaboration.

How much does a VP of data science make?

A VP of Data Science typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on company size, industry, location, and experience, and the role requires strong leadership, advanced analytics skills, and experience with data tools and teams.

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

The most popular types of Of Data Science jobs in California are:

What are popular job titles related to Vp Of Data Science jobs in California?

For Vp Of Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Vp Of Data Science jobs in California look for?

The top searched job categories for Vp Of Data Science jobs in California are:

What cities in California are hiring for Vp Of Data Science jobs?

Cities in California with the most Vp Of Data Science job openings:

Vp Of Data Science jobs near you
Infographic showing various Vp Of Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $140,595 per year, or $67.6 per hour.

VP of Data Engineering: Lead AI & Analytics (Westlake Village)

IQOR HOLDINGS US LLC

Westlake Village, CA • On-site

$189K - $243K/yr

Full-time

Re-posted 2 days ago

Job description

A leading analytics firm in California is seeking a Vice President of Data Engineering to lead and manage a high-performing data science team. This role requires a strong leader who will develop the data science roadmap and implement advanced analytics strategies. Candidates should have a Bachelor's degree in Data Science or Engineering and extensive experience in guiding data science professionals, as well as a passion for fostering a data-driven culture across the organization.
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