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Data Scientist Jobs in Santa Clara, CA (NOW HIRING)

Sql Pager LLC

Data Scientist

Sunnyvale, CA · On-site

Help design, implement, and validate the ML Pipelines while collaborating with other data scientists. * Coordinate and collaborate with other Software Development group so that ML Pipeline fits well ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Data Scientist Duration: 12+ Months Location: Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong ...

Aven, Inc.

Data Scientist

Campbell, CA · On-site

Data Scientist We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your role will be pivotal in shaping our product strategy using robust scientific ...

Syntricate Technologies

Data Scientist

Cupertino, CA · On-site

Job Post Required Skills: * A Data Scientist who understands the inner workings on the systems, and is able to provide solutions on time. * Data Scientist with strong statistical fundamentals ...

Zimmerman Advertising

Data Scientist

Sunnyvale, CA · On-site

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data ...

Aven

Data Scientist

Campbell, CA · On-site

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your role will be pivotal in shaping our product strategy using robust scientific methodologies.

Apple

Data Scientist

Cupertino, CA · On-site

As Data Science organization, our goal is to harness the power of user data to help Maps make great decisions. We work in a data-driven environment where Data Scientists are instrumental in keeping ...

Revvo

Data Scientist

San Mateo, CA · On-site

Data Scientist Location: San Mateo, California Employment Type: Full Time Job Overview Revvo's purpose is to monitor and maximize the life of tires. Our Data Scientists create and maintain machine ...

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA

Data Scientist Full-Time / Contract (W2/*) Austin, TX 78757 (or) Tampa, FL 33602 - Austin location preferred Salary /FTE - Market- Negotiable for right match Pay rate/ Contract: Market- Negotiable ...

Yantran LLC

Data Scientist

San Jose, CA · On-site

Data Scientist We're hiring a Data Scientist to turn data into decisions and ML products that drive impact. Location: San Jose, CA Subcon rate card - ***-80$ per hour Full time - 140-145k per annum ...

GridCARE

Data Scientist

Redwood City, CA · On-site

We are seeking a Data Scientist who thrives at the intersection of business and engineering - someone who can translate complex technical data into clear, compelling insights for both internal and ...

Zimmerman Advertising

Data Scientist

Santa Clara, CA · On-site

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data ...

Cypress HCM

Data Scientist

San Jose, CA

$105.63/hr

Data Scientist Job Details * Data Scientist (Contract) * Location: San Jose CA 95110 (Hybrid) * Duration: 11/17/2025 to 6/12/2026 * Team: Express Growth US About the Role: * The Express Growth Data ...

Covalent

Data Scientist

Sunnyvale, CA · On-site

Role Overview We are seeking a Data Scientist to work at the intersection of laboratory science and data-driven software systems. This role is in our software organization and collaborates closely ...

PROPRIUS

Data Scientist

Sunnyvale, CA

$130K - $160K/yr

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you an experienced Data Scientist with 2+ years' experience who likes solving complex problems? Do you ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he should be as excited as we are to create human-centered AI products poised for rapid growth and ...

GridCARE

Data Scientist

Redwood City, CA · On-site

We are seeking a Data Scientist who thrives at the intersection of business and engineering - someone who can translate complex technical data into clear, compelling insights for both internal and ...

Info Way Solutions

Data Scientist

Fremont, CA · On-site

Kindly check the JD and share your view Data Scientist Charlotte, NC (onsite) Full time A Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the ...

Waymo

Data Scientist

Mountain View, CA · Hybrid

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ...

eTeam

Data Scientist

San Jose, CA · On-site

Data Scientist Contractor The services you will provide the Deloitte project team: As a Data Scientist Contractor, you will analyze complex data sets to extract meaningful insights and support data ...

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All JobsData Scientist JobsData Scientist Jobs in Santa Clara, CA

Data Scientist information

See Santa Clara, CA salary details

$43.7K

$143K

$229K

How much do data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist in Santa Clara, CA is $143,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $158,500.00 per year, depending on experience, location, and employer.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Santa Clara, CA? The most popular types of Data Scientist jobs in Santa Clara, CA are:
What are popular job titles related to Data Scientist jobs in Santa Clara, CA? For Data Scientist jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Santa Clara, CA look for? The top searched job categories for Data Scientist jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Data Scientist jobs? Cities near Santa Clara, CA with the most Data Scientist job openings:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Santa Clara, CA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $143,030 per year, or $68.8 per hour.

Data Scientist

Sql Pager LLC

Sunnyvale, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Please apply using the following link

  • https://app.workstory.io/public/job?meta=eyJpZCI6MTF9
Responsibilities
  • Help design, implement, and validate the ML Pipelines while collaborating with other data scientists.
  • Coordinate and collaborate with other Software Development group so that ML Pipeline fits well with the rest of our software applications.
  • Balance adding new features with the need for stability and performance.
  • Grow development capabilities to align with the pace of business needs.
Qualifications
  • Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development
  • 3+ years of experience with Python coding
  • 3+ years of recent experience working as a Data Scientist in industry
  • Experience with developing production-grade code, preferably in Python
  • Experience with data science and machine learning, including Python libraries such as NumPy, SciPy, Pandas and Scikit-learn
  • Strong professional written and verbal communication skills
  • Ability to pass a Data Science skills-based test
  • Experience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similar
  • Ability to create model-ready data from raw data, at scale
  • Ability to translate business problems into data science pipelines
  • Comfort with ML theory to recommend solutions beyond the standard libraries
  • Must be able to work independently and as part of a diverse interdisciplinary and international team
  • Communicates clearly to technical and non-technical audiences
  • Empathy with customer business challenges
  • Ability to map business problems to software and data science techniques.
  • Understanding of fundamental data science and machine learning pipeline including data cleansing, feature engineering, imputation, model tuning, and model prediction
  • Basic understanding of the pros and cons of different machine learning algorithms, and basic understanding for different types of open source ML frameworks
  • Understanding of hypervisors/containers, especially Docker

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