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Data Optimization Jobs in California (NOW HIRING)

Adyen

Optimization Data Analyst

San Francisco, CA · On-site

$132K - $178K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Adyen

Optimization Data Analyst

San Francisco, CA

$132K - $178K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Moon

3D Engineer

Glendale, CA · On-site

$130K - $160K/yr

You'll work across scene features, catalog-driven configuration, and the performance and data-optimization work that makes a field product fast on real tablets. About the role • You will join the ...

Solomon Page

SEO Data Analyst

West Hollywood, CA · On-site

$55/hr

We are hiring an SEO Data Analyst, Streaming to join a top entertainment company in Los Angeles, CA. This freelance role will run until June 2027 and will be fully onsite in their LA office. * Pay ...

K2 Space

Senior Application Data Engineer

Los Angeles, CA · On-site

$160K - $200K/yr

Lead data architecture designs, drive data optimization, ensure data integrity and accuracy. * Evaluate and make decisions regarding competing data design tradeoffs. * Advocate, defend and convert ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Data partitioning, file size tuning, and optimization strategies for large-scale pipelines. * Experience handling multi-terabyte structured time‑series workloads. * Ability to distill architectural ...

Mixpanel

Delivery Engineer II

San Francisco, CA · On-site +1

Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects * Successfully ...

Cisco

Software Engineer

Glendale, CA · On-site

Your work will directly influence how data is discovered, managed, and optimized across cloud environments, providing the foundation for analytics, governance, and AI-driven applications. * Build ...

eBay, Inc.

SEO Data Scientist

San Jose, CA · On-site

$170K - $227K/yr

Within this space, we are seeking a Data Scientist for the SEO Analytics function at eBay. In this role, you will partner closely with the product and engineering teams, using eBay's vast data ...

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Data Optimization information

What is a data optimization?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in data optimization, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are some typical challenges faced in a data optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

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

The most popular types of Data Optimization jobs in California are:

What are popular job titles related to Data Optimization jobs in California?

For Data Optimization jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Optimization jobs in California look for?

The top searched job categories for Data Optimization jobs in California are:

What cities in California are hiring for Data Optimization jobs?

Cities in California with the most Data Optimization job openings:

Data Optimization jobs near you
Infographic showing various Data Optimization job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

CapEx Manufacturing Optimization Product Manager

Apple

Sunnyvale, CA • On-site

$196K - $203K/yr

Full-time

Re-posted 7 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that has revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it.
The Product Operations Data Team is looking for an analytically sharp, intellectually curious individual to own the data optimization vision for our Capex Equipment Engineering organization. This is not a model-building role - it is an architectural and strategic one. You will serve as the critical bridge between deep Capex domain knowledge and the technical capabilities of a dedicated ML engineering team, translating what the business needs to predict into what the models need to learn. This is a high-growth opportunity for a driven, curious individual who is ready to own something significant and expand their impact as the vision scales.
Description
In this role you will define, shape, and drive the data optimization frameworks that transform how the Capex team operates - shifting from manual estimation to model-driven prediction that influences product design decisions before commitments are made.
Minimum Qualifications
3+ years of experience in an analytical, data, or technically oriented role
BS or MS degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent hands-on experience
Strong quantitative analytical skills - comfortable working with complex, multi-source datasets to extract meaningful signals
Foundational understanding of how predictive models work - what they require as inputs, how they are trained, and how their outputs should be interpreted and validated
Demonstrated ability to translate ambiguous business problems into structured, precise requirements that a technical team can act on
Preferred Qualifications
5+ years of experience in an analytically driven role with increasing scope and ownership
Some exposure to manufacturing, supply chain, or capital equipment environments - enough to engage credibly with domain concepts and recognize when a model output makes operational sense
Experience working at the interface between business and engineering teams, serving as a translator or connector across functions
Familiarity with data pipeline concepts, feature engineering, and model validation practices - even without hands-on model building experience
Experience defining requirements for ML or data products and partnering with technical teams through the development lifecycle
Clear and confident communicator, able to represent team needs to a technical audience and explain complex analytical concepts to non-technical stakeholders
Demonstrated intellectual curiosity and a track record of growing technical depth independently in a fast-moving environment
Comfortable operating in ambiguous, early-stage problem spaces where the framework itself is still being defined

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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