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

Senior Data Scientist What Project/Projects will the candidate be working on while on assignment? 1) Field Team Modernization/Intelligent Decision Management - build and support of new predictive ...

Genesis10 is currently seeking a Data Scientist for a fully remote position with a Major Healthcare ... Own model lifecycle management, including versioning, performance tracking, drift detection, and ...

Genesis10 is currently seeking a Data Scientist for a fully remote position with a Major Healthcare ... Own model lifecycle management, including versioning, performance tracking, drift detection, and ...

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary At PwC ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

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Data Science Manager information

See Riverside, CA salary details

$32.3K

$101.3K

$179.4K

How much do data science manager jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data science manager in Riverside, CA is $101,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $130,900.00 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 Riverside, CA? The most popular types of Data Science jobs in Riverside, CA are:
What are popular job titles related to Data Science Manager jobs in Riverside, CA? For Data Science Manager jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Riverside, CA look for? The top searched job categories for Data Science Manager jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Science Manager jobs? Cities near Riverside, CA with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Riverside, CA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,348 per year, or $48.7 per hour.
Senior Manager, Data Science and Advanced Forecasting

Senior Manager, Data Science and Advanced Forecasting

Edwards Lifesciences Corporation

Irvine, CA

$121K - $171K/yr

Full-time

Re-posted 2 days ago


Edwards Lifesciences rating

8.3

Company rating: 8.3 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

67th of 527 rated manufacturers


Job description

Imagine how your ideas and expertise can change a patient's life. Patients are at the heart of what we do at Edwards Lifesciences. Our Finance teams work hard to optimize our current and long-term success and enable our ongoing strategy of innovation, leadership, and focus. As part of the team, whether providing analysis, forecasting, or reporting financial information, your application of accurate financial business practices will play a fundamental role in how we impact the quality of life for patients all over the world.

This role sits at the intersection of Corporate Finance (FP&A) and advanced analytics / data science. The Senior Manager will serve as a bridge to translating data into actionable financial insights. This role will build and operationalize statistical forecasting and scenario models to improve planning accuracy and decision quality - partnering closely with Finance leaders and enabling this capability in our planning platform (Anaplan). The role will help stand up an Advanced Forecasting Center of Excellence across Finance, setting standards for advanced model governance, validation, and repeatable planning playbooks.

On-site in Irvine

How you'll make an impact:

  • Build and maintain data-driven forecasting models (time-series, AI/ML, causal/driver-based, Monte Carlo / probabilistic scenarios) for key financial and operational outcomes (revenue, margin, opex, cash flow, etc.)
  • Act as a strategic partner to the Anaplan planning program: define requirements for data-based forecasting and ensure outputs integrate cleanly into planning workflows.
  • Build "last mile" adoption: templates, dashboards, documentation, and stakeholder training so teams can consistently use the statistical outputs in planning and reviews.
  • Communicate complex findings clearly: concise executive narratives, visuals, and recommendations grounded in data.
  • Establish model testing/validation routines (back-testing, error metrics, drift monitoring) and create clear documentation for assumptions, limitations, and controls.
  • Partner with FP&A to marry insights from management forecasts with data-driven insights from the statistical forecasts.
  • Design scenario and sensitivity frameworks that quantify tradeoffs, risks, and uncertainty translating outputs into actionable insights for Finance and business leaders.
  • Stand up an Advanced Forecasting Center of Excellence: modeling standards, reusable code/modules, data definitions, governance, and prioritization intake.
  • Collaborate with Data/IT to improve pipelines, data quality/governance, and automation; ensure models are scalable, maintainable, and auditable.
  • Other incidental duties

What you'll need (Required):

  • Bachelor's Degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, Biostatistics
  • A minimum of ten years of experience including either industry or industry/education or equivalent work experience (OR eight years with a Masters OR four years with a PH.D)

What else we look for (Preferred):

  • Strong hands-on capability in Python or R, plus SQL; comfortable with large datasets and model lifecycle basics.
  • Excellent communication and interpersonal skills, with the ability to engage stakeholders at all levels.
  • Proven expertise in statistical techniques (e.g. distributions, statistical testing, regression, etc.)
  • Working knowledge in related tools and applications (e.g., Oracle, JDE, Concur, Salesforce.com) preferred
  • Strict attention to detail
  • Extensive knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems.
  • Experience with planning platforms (e.g., Anaplan) and driver-based planning / forecasting frameworks.
  • Familiarity with cloud/data platforms (e.g., Databricks/Azure/AWS equivalents) and modern analytics workflows.
  • Experience setting standards, leading cross-functional work, and building repeatable playbooks.

Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California, the base pay range for this position is $121,000 to $171,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.

Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.

COVID Vaccination Requirement

Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.


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About Edwards Lifesciences

Sourced by ZipRecruiter

Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 15,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

1958