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Data Science Engineer Jobs in Irvine, CA (NOW HIRING)

Boot Barn

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices ...

Boot Barn

Data Scientist

Irvine, CA

$100K - $130K/yr

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices ...

Boot Barn

Director, Data Science & Insights

Irvine, CA

$150K - $200K/yr

Ensure strong collaboration with Data Engineering and AI/ML Engineering teams to productionize models through robust architecture, MLOps, and scalable infrastructure * Standardize data science best ...

Boot Barn

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

Ensure strong collaboration with Data Engineering and AI/ML Engineering teams to productionize models through robust architecture, MLOps, and scalable infrastructure * Standardize data science best ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Translate business and operational needs into scalable data science solutions and modeling approaches * Perform feature engineering, data preparation, and exploratory analysis to support model ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

Translate business and operational needs into scalable data science solutions and modeling approaches * Perform feature engineering, data preparation, and exploratory analysis to support model ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

Translate business and operational needs into scalable data science solutions and modeling approaches * Perform feature engineering, data preparation, and exploratory analysis to support model ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in Irvine, CA

Data Science Engineer information

See Irvine, CA salary details

$47.8K

$139.2K

$190.5K

How much do data science engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data science engineer in Irvine, CA is $139,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $147,600.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

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

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are popular job titles related to Data Science Engineer jobs in Irvine, CA? For Data Science Engineer jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Irvine, CA look for? The top searched job categories for Data Science Engineer jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Data Science Engineer jobs? Cities near Irvine, CA with the most Data Science Engineer job openings:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Irvine, CA as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $139,236 per year, or $66.9 per hour.

Staff Geospatial Data Science Engineer

Rivian and Volkswagen Group Technologies

Irvine, CA • On-site

$171K - $213K/yr

Full-time

Medical, Retirement

Posted 9 days ago

Job description

About Us
Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.
The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone.
Role Summary
RV Tech is seeking a Geospatial Data Science Engineer to pioneer the data layer powering our next-generation software-defined electric vehicles. In this senior role, you will be responsible for transforming massive, high-frequency streams of vehicle sensor observations into highly accurate, dynamic map features that the vehicle can use for localization, routing, and advanced driver assistance systems (ADAS).
You will apply advanced computational statistics, machine learning, and spatial analysis to process and model large datasets, drawing actionable insights that translate raw fleet telemetry into live, high-definition maps. We value proactive problem-solvers who thrive in autonomous roles and are passionate about building performant, scalable systems at the intersection of data science and robotics.
Responsibilities
  • Geospatial Pipeline Engineering: Design, build, and optimize scalable data pipelines that ingest, clean, and segment billions of daily vehicle sensor observations into consumable map features and geometries.
  • Statistical Modeling & Insights: Apply advanced data mining and analytic methods to detect real-world changes (e.g., road closures, new lanes, construction) and design rigorous statistical tests to validate map accuracy.
  • Map Generation & Map Matching: Develop robust algorithms for map matching, trajectory smoothing, and sensor fusion to convert noisy probe data into high-fidelity road geometry and attributes.
  • System Design & Architecture: Lead the technical design of spatial data systems, ensuring low-latency query performance, efficient spatial indexing (e.g., H3, S2), and scalable storage of vector/raster map data.
  • Stakeholder Collaboration: Partner with embedded software engineers, perception teams, and cloud architects to align onboard vehicle capabilities with cloud-based mapping platforms.
  • Staying Ahead of the Curve: Stay up-to-date with the latest advancements in big data technologies, computational statistics, machine learning, and automated mapping practices.

Qualifications
Minimum Qualifications:
  • Education: Bachelor's Degree in Statistics, Applied Mathematics, Computer Science, Geoinformatics, Robotics, or a related quantitative field with an emphasis or thesis work on computational statistics, data mining, machine learning, or spatial optimization.
  • Experience: 8+ years of related professional experience building and maintaining large-scale data processing and predictive systems.
  • Advanced Analytics & Data Mining: Expert-level knowledge in data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, and Bayesian network analysis.
  • Geospatial Expertise: Proven experience working with geospatial data, handling noisy time-series datasets, writing advanced spatial queries in PostGIS, and utilizing spatial libraries/indexing systems (e.g., H3, S2, GeoPandas).
  • Programming & Scripting: Proficiency with statistical analysis packages and programming languages, including Python, SQL, and shell scripting (or familiarity with R/MATLAB).
  • Statistical Testing: Strong statistical foundation with proven expertise in designing, executing, and analyzing complex data tests and validation methodologies.

Preferred Qualifications
  • Crowdsourced Mapping: Experience with fleet-based, crowdsourced map generation methodologies, including probe-data aggregation, change detection, and incremental map updates.
  • Cloud Ecosystems: Experience deploying large-scale geospatial pipelines and machine learning workloads within cloud platforms (e.g., AWS, GCP, Databricks).
  • Open-Source Infrastructure: Experience with standard open-source vector tile formats, tools like Martin, QGIS, and geospatial processing engines (GDAL/OGR, GEOS).
  • Automotive Map Formats: Familiarity with automotive map standards, routing schemas, and data structures such as NDS (Navigation Data Standard), OpenStreetMap (OSM), and Lanelet2/HD Maps.
  • Robotics Algorithms: Familiarity with core robotics concepts, including SLAM (Simultaneous Localization & Mapping), Sensor Fusion, and Point Cloud / Sensor Processing (LiDAR, radar, vision).
Total Rewards
We build the exceptional - and we believe the people doing that work should be rewarded accordingly. In addition to a competitive base salary, full-time positions may be is eligible to participate in our annual company performance bonus program.
Payments are discretionary and not guaranteed; actual amounts depend on company results and the terms of the plan in effect, and require active employment at the time of payout. This role is also eligible for equity in the form of Restricted Stock Units (RSUs), subject to board approval and the terms of our equity incentive plans, including applicable vesting requirements.
In addition to our compensation programs, we invest in our people with a comprehensive benefits package designed to support the health, wellbeing, and financial future for full-time employees - including health coverage, retirement savings, time off, and family planning programs. Offerings vary by country. Learn more about our global benefit programs.
External candidates can apply for this role through the Rivian and Volkswagen Group Technologies careers site (https://rivianvw.tech/#careers). If you are a current employee, please apply through our internal job board.
Equal Opportunity
Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.
Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
Candidate Data Privacy
Rivian and Volkswagen Group Technologies" may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.
Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services.
Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
If you provide a mobile telephone number as part of your application or during the recruitment process, Rivian and Volkswagen Group Technologies may use that number to contact you via SMS text message for recruitment-related purposes, including scheduling, logistics, and status updates. Message and data rates may apply. You may opt out of SMS communications at any time by replying STOP to any text message you receive from us. Consent to receive SMS messages is not a condition of applying for or being considered for employment.
Please see our Candidate Data Privacy Notice (English)and Candidate Data Privacy Notice (Serbian) for more information.
Please note this job posting represents an open, active vacancy. Additionally, we are not currently accepting applications from third party application services.

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