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Data Science Jobs in Davis, CA (NOW HIRING)

Jobsbridge

Bigdata Engineer

Sacramento, CA · On-site

$59.50 - $78.75/hr

Familiarity with Data Analytics / Data Science practices Familiarity with Data Quality and Master Data Management practices Effective communication skills, both written and verbal Create technical ...

Deloitte

Lead Generative AI Data Engineer III

Sacramento, CA · On-site

$109K - $144K/yr

Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: * Lead the design, development, testing, and deployment of machine learning and artificial ...

Staffingine LLC

AI Engineer

Woodland, CA · On-site

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

Cliftonlarsonallen

Data Analyst Senior

Sacramento, CA · On-site +1

$107K - $155K/yr

Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view ...

Deloitte

Senior AI Engineer - SFL Scientific

Sacramento, CA · On-site

$111K - $153K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on ...

Pwc

Data Engineer - Senior Manager

Sacramento, CA · On-site

$124K - $280K/yr

... Data Science, and Data Governance - Architecting and implementing cloud-based solutions meeting industry standards Travel Requirements Up to 60% Job Posting End Date The salary range for this ...

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Showing results 21-40

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.

Bigdata Engineer

Jobsbridge

Sacramento, CA • On-site

$59.50 - $78.75/hr

Contractor

Re-posted 6 days ago

Job description

Company Description

Jobsbridge

Job Description

Primary Responsibilities


 Develop web based user interfaces for analysis of operational and business data


Create algorithmic data models


Manage data sources and feeds for web based user interfaces


Ability to deliver on deadline driven projects


Work within a standards driven development approach


Collaborate effectively with team members

 

General Experience with the following:


Familiarity with Data Analytics / Data Science practices


Familiarity with Data Quality and Master Data Management practices


Effective communication skills, both written and verbal


Create technical design/specification documentation


Experience with formal source control tools/methods


Education and Experience


Prefer bachelor's degree or above in Computer Science or related fiel


5+ years of development experience


4+ years of web development with AJAX skills


4+ years of database development experience


2+ Big Data experience: Hadoop, Hbase, Cassandra, MongoDB, etc.


Database administration experience


Skills and Knowledge


Development/Management experience with most of the following:


HTML, Javascript, XML


PERL/PHP


Adobe FLEX


Oracle/MS SQL experience


Informatica product suite


Java Web Services

Qualifications

Big Data, HTML, Javascript, XML, Oracle/MS SQL, Data Analytics, Data Science

Additional Information

All your information will be kept confidential according to EEO guidelines.

Jobsbridge Institute logo

About Jobsbridge Institute

Sourced by ZipRecruiter

Josbridge Institute is your one-stop destination for your Data, Cloud and Analytics learning needs, powered by Microsoft AI & Cloud platform. We offer a wide range of courses and programs, from foundational to advanced focusing on Data Analysis, Cloud Engg, AI-ML required for Microsoft certification. Our courses are designed to equip you with the practical skills and knowledge required for success in the field of cloud computing, AI and Data Analytics. With our experienced faculty, applied learning and comprehensive curriculum, we are committed to helping you achieve your career goals. Students seeking Internship (CPT & OPT) may apply.

Industry

Business schools and computer and management training

Company size

11 - 50 Employees

Headquarters location

Campbell, CA, US

Year founded

2022

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