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Data Science Machine Learning Jobs in Santa Clara, CA

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models * Serves as the technical lead for the development of computer ...

Stay current with the latest advancements in data science, machine learning, and AI technologies. * Evaluate and implement new tools and technologies to enhance the data science architecture and ...

Staff Data Scientist

Pleasanton, CA · On-site

$144K - $200K/yr

Stay current with the latest advancements in data science, machine learning, and AI technologies. * Evaluate and implement new tools and technologies to enhance the data science architecture and ...

Stay current with the latest advancements in data science, machine learning, and AI technologies. * Evaluate and implement new tools and technologies to enhance the data science architecture and ...

Senior, Data Scientist

Hayward, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Senior, Data Scientist

Castro Valley, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Senior, Data Scientist

Palo Alto, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

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Data Science Machine Learning information

See Santa Clara, CA salary details

$44K

$144.1K

$230.8K

How much do data science machine learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data science machine learning in Santa Clara, CA is $144,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $159,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
What cities near Santa Clara, CA are hiring for Data Science Machine Learning jobs? Cities near Santa Clara, CA with the most Data Science Machine Learning job openings:
Infographic showing various Data Science Machine Learning job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $144,149 per year, or $69.3 per hour.

Head of Data Science/ Machine Learning

HARAMAIN SYSTEMS INC.

Pleasanton, CA • On-site, Remote

$200K - $220K/yr

Full-time

Posted 3 days ago


Job description

Job Description
Head of Data Science/ Machine Learning
Location : CA/Remote
Full time role
Education Requirements
  • Preferred Master's or PhD in a relevant STEM field, but exceptional Bachelor's profiles considered.

Interview Process
  • Four rounds: recruiter call, hiring manager interview, technical (coding and case study), and leadership round.
  • Leadership round involves the head of people, CTO, and CEO.

Ideal Candidate Profile
  • Combination of machine learning engineering and data science, capable of writing production code.
  • Strong communicator, able to articulate complex information effectively.

Team Culture and Expectations
  • High-caliber, select team with high expectations and visibility.
  • Autonomy in growing products and scaling teams, with a strong focus on technical and problem-solving capabilities.

Seniority
  • 7 - 15 years of experience in applied ML/data science, building production models in fintech, cybersecurity, or other high stakes domains
  • Work experience
  • 4+ years managing data science/ML teams in high-growth startups (must have managed people building and deploying ML products core to the business)
  • Proven track record of solving complex / high profile business problems with DS / ML solutions. (Scaled a product suite of ML models, not just one model)
  • Held senior/leadership role at a fast growing startup (20-400 people) with broad scope
  • Shows great slope and career progression

Education
Master's or PhD in a STEM field (math, stats, CS, physics, engineering) - target top universities
End-to-end ML: feature engineering, model training, productionalization, monitoring
Strong software engineering abilities in Python
Domain experience in fraud, identity verification, or financial risk
Experience in communicating progress + outcomes to senior management / stakeholders