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Science Engineer Jobs in California (NOW HIRING)

AI and Data Science Engineer III

Los Angeles, CA · On-site

$123K - $148K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

AI and Data Science Engineer III

Sacramento, CA · On-site

$122K - $146K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

The Opportunity Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact ...

Data Science Engineer (Customer Location Los Angels Mason)Role OverviewThe Data Science Engineer will develop scalable ML and Generative AI solutions| specializing in model training| document ...

AI and Data Science Engineer II

San Jose, CA · On-site

$134K - $161K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to ...

AI and Data Science Engineer II

Los Angeles, CA · On-site

$123K - $148K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to ...

AI and Data Science Engineer II

San Diego, CA · On-site

$121K - $146K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to ...

AI and Data Science Engineer II

San Francisco, CA · On-site

$134K - $162K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to ...

AI and Data Science Engineer II

Sacramento, CA · On-site

$122K - $146K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to ...

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Science Engineer information

What are the key skills and qualifications needed to thrive as a Science Engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What do science engineers do?

Science engineers apply principles from science and engineering to develop new technologies, improve processes, and solve technical problems. They often work in research and development environments, using tools like laboratory equipment and computer modeling, and may require knowledge of specific scientific disciplines and engineering standards.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership responsibilities or advanced certifications.

What jobs can you do with engineering science?

Engineering science graduates can pursue careers in research and development, systems engineering, quality assurance, and technical consulting. They often work in industries such as aerospace, automotive, energy, and manufacturing, utilizing skills in problem-solving, data analysis, and technical design. Certifications in specific engineering disciplines and proficiency with tools like CAD or MATLAB can enhance job prospects.

What are science engineers?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What jobs will boom in 2026?

In 2026, roles for science engineers and related technical positions are expected to grow due to advancements in technology, renewable energy, and data analysis. Skills in automation, programming, and environmental science will be increasingly in demand across industries such as manufacturing, energy, and research institutions.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are some common challenges Science Engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.
What job categories do people searching Science Engineer jobs in California look for? The top searched job categories for Science Engineer jobs in California are:
What cities in California are hiring for Science Engineer jobs? Cities in California with the most Science Engineer job openings:
Infographic showing various Science Engineer job openings in California as of June 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
AI and Data Science Engineer III

AI and Data Science Engineer III

Deloitte

Los Angeles, CA • On-site

$123K - $148K/yr

Other

Posted 11 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

AI Data Science Engineer III

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact clients. You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients.

This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that extend our Human Capital service offerings.

Recruiting for this role ends on August 30, 2026

Work You'll Do:

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.

Key Responsibilities:

  • Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
  • Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
  • Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
  • Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
  • Support business development efforts including proposals, client presentations, and thought leadership content.
  • Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
  • Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Required Qualifications:

  • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
  • 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
  • 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
  • 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
  • 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
  • 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
  • Ability to travel 0-25%, on average, based on client and project needs.
  • Limited immigration sponsorship may be available

Preferred Qualifications:

  • Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
  • Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
  • AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
  • Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
  • Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
  • Proficiency in Python or R for statistical modeling and data wrangling.
  • Strong communication skills with the ability to convey complex analytical insights to diverse audiences.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

AI Data Science Engineer III

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact clients. You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients.

This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that extend our Human Capital service offerings.

Recruiting for this role ends on August 30, 2026

Work You'll Do:

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.

Key Responsibilities:

  • Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
  • Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
  • Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
  • Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
  • Support business development efforts including proposals, client presentations, and thought leadership content.
  • Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
  • Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Required Qualifications:

  • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
  • 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
  • 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
  • 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
  • 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
  • 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
  • Ability to travel 0-25%, on average, based on client and project needs.
  • Limited immigration sponsorship may be available

Preferred Qualifications:

  • Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
  • Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
  • AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
  • Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
  • Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
  • Proficiency in Python or R for statistical modeling and data wrangling.
  • Strong communication skills with the ability to convey complex analytical insights to diverse audiences.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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