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Data Science Manager Jobs in Rialto, CA (NOW HIRING)

Esri

Sr. Marketing Data Strategist

Redlands, CA · On-site

$93K - $156K/yr

Advanced experience working across CRM, marketing automation platforms, CDPs, and BI tools ... Bachelor's degree in business analytics, data science, information systems, or a related field

Cox Automotive

Business Intelligence Sr Manager

Orange, CA · On-site

$122K - $204K/yr

Reporting to the Director of Advertising & Consumer Analytics, this role partners directly with Sales, Campaign Management, Data Science/Engineering, and Analytics peer groups. The Senior Manager ...

Cox Automotive

Business Intelligence Sr Manager

Corona, CA · On-site

$122K - $204K/yr

Reporting to the Director of Advertising & Consumer Analytics, this role partners directly with Sales, Campaign Management, Data Science/Engineering, and Analytics peer groups. The Senior Manager ...

Cox Automotive

Business Intelligence Sr Manager

Corona, CA · On-site

$122K - $204K/yr

Reporting to the Director of Advertising & Consumer Analytics, this role partners directly with Sales, Campaign Management, Data Science/Engineering, and Analytics peer groups. The Senior Manager ...

Cox Automotive

Business Intelligence Sr Manager

Orange, CA · On-site

$122K - $204K/yr

Reporting to the Director of Advertising & Consumer Analytics, this role partners directly with Sales, Campaign Management, Data Science/Engineering, and Analytics peer groups. The Senior Manager ...

Esri

Product Engineer II - Data Management

Redlands, CA · On-site

$79K - $133K/yr

Overview Join our enterprise data management development team to build next-generation technologies ... Bachelor's degree in computer science, engineering, GIS, data science, network science, mathematics ...

Kforce Technology Staffing

Senior Data Engineer

Anaheim, CA · On-site

$111K - $150K/yr

... and data science efforts * Provide business guidance and steer efforts toward desired outcomes ... Design templates for the data management which are scalable, repeatable, and simple * Defines and ...

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Data Science Manager information

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$31.1K

$97.4K

$172.5K

How much do data science manager jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data science manager in Rialto, CA is $97,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $125,800.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Rialto, CA? The most popular types of Data Science jobs in Rialto, CA are:
What job categories do people searching Data Science Manager jobs in Rialto, CA look for? The top searched job categories for Data Science Manager jobs in Rialto, CA are:
What cities near Rialto, CA are hiring for Data Science Manager jobs? Cities near Rialto, CA with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Rialto, CA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,414 per year, or $46.8 per hour.
Sr. Marketing Data Strategist

Sr. Marketing Data Strategist

Esri

Redlands, CA • On-site

$93K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Esri rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

6th of 205 rated software companies

Job description

Overview
Are you a strategic, data driven professional who excels at bringing clarity to complex data? As a Sr. Marketing Data Strategist, you will leverage advanced expertise in marketing data analysis, modeling, governance, and enrichment. Your design of scalable data models will strengthen data quality frameworks, and lead enrichment and segmentation strategies that improve targeting, personalization, and prioritization. In this role, you will define and govern marketing data standards, optimize data collection and validation processes, and develop meaningful visualization and reporting tools. In partnership with information systems and technology and enterprise business intelligence teams, you will ensure marketing data is accurate, compliant, and consistently structured across platforms and help drive strategic decision-making across Esri.
Responsibilities
  • Advanced data analysis and modeling. Design and maintain scalable marketing data models that support segmentation, personalization, prioritization, and performance measurement. Apply advanced analytical techniques to analyze campaign performance, identify trends, and inform targeting, investment, and go-to-market decisions.
  • Data quality, enrichment & governance. Embed data enrichment logic, validation frameworks, and standardized quality controls to improve completeness, accuracy, and consistency across systems. Establish and operationalize data governance standards, benchmarks, and monitoring processes to ensure long-term data reliability and enterprise integrity.
  • Data visualization, reporting, & data health monitoring. Develop dashboards and visualizations that communicate marketing performance, segmentation effectiveness, and key data health metrics. Advise on reporting architecture and standards to improve transparency, usability, and stakeholder trust in marketing data.
  • Data governance, data strategy enablement, & process optimization. Partner with digital marketing, technology, and legal/privacy teams to ensure audience strategies are supported by compliant, standardized, high-quality data. Identify and resolve systemic data challenges and establish benchmarks to drive repeatable best practices that improve targeting precision and overall data maturity, including data transformations, normalization, and enrichment practices that support long-term sustainability.

Requirements
  • 8+ years of experience in marketing data, analytics, data strategy, or related fields
  • Strong expertise in data models, segmentation strategy, data quality, governance, and enrichment practices
  • Experience partnering with Legal and Privacy teams on data usage, consent, and compliance requirements
  • Advanced experience working across CRM, marketing automation platforms, CDPs, and BI tools
  • Advanced SQL skills with the ability to analyze and validate complex datasets
  • Proven ability to influence cross-functional teams and drive alignment without direct authority
  • Strong communication skills with experience presenting strategic recommendations to senior leaders
  • Demonstrated ability to design scalable frameworks rather than one-off solutions
  • Bachelor's degree in business analytics, data science, information systems, or a related field
  • Occasional travel may be required (up to ~20%); travel needs may vary based on business requirements
  • Visa sponsorship not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications
  • Master's degree in business analytics, data science, information systems, or a related field
  • Experience evaluating and integrating third-party data providers and enrichment services
  • Familiarity with data privacy regulations and governance practices in marketing contexts
  • Strong storytelling and stakeholder engagement skills, with the ability to communicate data strategy and impact to executive audiences

#LI-KM2
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$93,600-$156,000 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

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Benefits

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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