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Data Science Jobs in Davis, CA (NOW HIRING)

Deloitte

Lead Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Lead, coach, and develop cross-functional teams of data engineers, data scientists, and architects across client engagements. * Design data-driven architectures that integrate data engineering ...

Deloitte

Lead Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Lead, coach, and develop cross-functional teams of data engineers, data scientists, and architects across client engagements. * Design data-driven architectures that integrate data engineering ...

Pwc

ERP AI Engineer - Manager

Sacramento, CA

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Deloitte

Senior Forward Deployed Engineer- AWS

Sacramento, CA · On-site

$111K - $153K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. * 1+ ...

Deloitte

Forward Deployed Engineer- AWS

Sacramento, CA · On-site

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. * 1+ ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Davis, CA

Data Science information

See Davis, CA salary details

$40.5K

$132.7K

$212.4K

How much do data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science in Davis, CA is $132,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $147,000.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Davis, CA? The most popular types of Data Science jobs in Davis, CA are:
What are popular job titles related to Data Science jobs in Davis, CA? For Data Science jobs in Davis, CA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Davis, CA look for? The top searched job categories for Data Science jobs in Davis, CA are:
What cities near Davis, CA are hiring for Data Science jobs? Cities near Davis, CA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Davis, CA as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $132,665 per year, or $63.8 per hour.

Lead Data Engineer

Deloitte

Sacramento, CA • On-site

$122K - $146K/yr

Other

Posted 19 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead Data Engineer on the AI & Data team, you will be responsible for leading large-scale data and artificial intelligence programs that help clients modernize platforms, improve decision-making, and deliver measurable business outcomes using the Databricks platform.

Key Responsibilities:

  • Lead complex data and artificial intelligence programs across the Databricks platform, serving as a subject matter advisor to delivery teams.
  • Build and maintain client relationships while advising stakeholders on enterprise data and artificial intelligence strategy.
  • Lead, coach, and develop cross-functional teams of data engineers, data scientists, and architects across client engagements.
  • Design data-driven architectures that integrate data engineering, business intelligence, and artificial intelligence and machine learning capabilities.
  • Provide delivery oversight, define success criteria, and guide teams on data governance, security, and machine learning operations practices.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • 7+ years of experience leading complex, large-scale data engineering, data governance, or artificial intelligence initiatives
  • 3+ years of experience configuring Unity Catalog role-based access control (RBAC) using Microsoft Entra ID groups and Icertis User Provisioning with System for Cross-domain Identity Management (SCIM)
  • 1+ years of experience registering data assets in Collibra Data Catalog and applying personally identifiable information (PII) and protected health information (PHI) classification tags
  • 1+ years of experience aligning data access controls to an established attribute-based access control (ABAC) masking pattern and developing solutions using Python
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
  • Professional Databricks certifications are preferred.
  • Public sector experience preferred
  • Active public sector clearance preferred

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 $144,600 to $241,000.

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:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead Data Engineer on the AI & Data team, you will be responsible for leading large-scale data and artificial intelligence programs that help clients modernize platforms, improve decision-making, and deliver measurable business outcomes using the Databricks platform.

Key Responsibilities:

  • Lead complex data and artificial intelligence programs across the Databricks platform, serving as a subject matter advisor to delivery teams.
  • Build and maintain client relationships while advising stakeholders on enterprise data and artificial intelligence strategy.
  • Lead, coach, and develop cross-functional teams of data engineers, data scientists, and architects across client engagements.
  • Design data-driven architectures that integrate data engineering, business intelligence, and artificial intelligence and machine learning capabilities.
  • Provide delivery oversight, define success criteria, and guide teams on data governance, security, and machine learning operations practices.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • 7+ years of experience leading complex, large-scale data engineering, data governance, or artificial intelligence initiatives
  • 3+ years of experience configuring Unity Catalog role-based access control (RBAC) using Microsoft Entra ID groups and Icertis User Provisioning with System for Cross-domain Identity Management (SCIM)
  • 1+ years of experience registering data assets in Collibra Data Catalog and applying personally identifiable information (PII) and protected health information (PHI) classification tags
  • 1+ years of experience aligning data access controls to an established attribute-based access control (ABAC) masking pattern and developing solutions using Python
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
  • Professional Databricks certifications are preferred.
  • Public sector experience preferred
  • Active public sector clearance preferred

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 $144,600 to $241,000.

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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