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Silicon Valley Data Science Jobs (NOW HIRING)

Brilent

Data Scientist Intern

San Mateo, CA · On-site

... Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science ...

Brilent

Senior Data Scientist

San Mateo, CA · On-site

... Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science ...

Hatch IT

Data Scientist

San Antonio, TX · On-site

A mission-driven startup based in Silicon Valley's Stanford Research Park is leveraging cutting ... Their advisory board includes nationally recognized leaders in science and innovation, including ...

CLARA analytics

Data Scientist

Santa Clara, CA · On-site

This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate ... A passion for data science and problem-solving in general * Self-driven individual who can take a ...

CLARA analytics

Data Scientist

Santa Clara, CA

This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate ... A passion for data science and problem-solving in general * Self-driven individual who can take a ...

Hop

Applied Data Scientist

San Francisco, CA

We are now building our Silicon Valley engineering team - a small, senior group focused on next ... What we require BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field ...

Hop

Applied Data Scientist

San Francisco, CA · On-site

We are now building our Silicon Valley engineering team -- a small, senior group focused on next ... What we require • BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative ...

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Silicon Valley Data Science information

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How much do silicon valley data science jobs pay per year?

As of Jun 16, 2026, the average yearly pay for silicon valley data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are typical career growth opportunities for professionals in Silicon Valley Data Science roles?

Silicon Valley data science professionals often have excellent opportunities for career advancement, moving from analyst or individual contributor roles into leadership positions such as lead data scientist, engineering manager, or head of data science. Many organizations encourage continuous learning and support employees in expanding their technical or domain expertise, often offering mentorship and upskilling programs. Data scientists may also have the chance to transition into adjacent fields like product management or data engineering, or to specialize further in areas such as AI/ML research. The dynamic, innovative environment in Silicon Valley makes it possible to shape a career pathway tailored to your strengths and interests.

What is a Silicon Valley Data Science job?

A Silicon Valley Data Science job involves analyzing large datasets to extract insights, build predictive models, and drive business decisions using machine learning and AI techniques. Professionals in this field typically work with cutting-edge technologies, programming languages like Python or R, and cloud platforms such as AWS or Google Cloud. They collaborate with engineers, product managers, and executives to develop data-driven solutions. These roles require strong analytical skills, statistical knowledge, and expertise in handling big data efficiently.

What are the key skills and qualifications needed to thrive in the Silicon Valley Data Science position, and why are they important?

To thrive in Silicon Valley Data Science, you need expertise in statistics, machine learning, and programming (such as Python or R), typically supported by an advanced degree in a quantitative field. Familiarity with big data tools like Spark or Hadoop, cloud platforms (AWS, GCP), and proficiency in SQL are highly valued, along with certifications such as AWS Certified Data Analytics. Strong problem-solving abilities, effective communication, and the capacity to work collaboratively in cross-functional teams set standout candidates apart. These skills are crucial to deliver actionable insights, drive innovation, and add value in Silicon Valley’s fast-paced, tech-driven environment.

More about Silicon Valley Data Science jobs
What states have the most Silicon Valley Data Science jobs? States with the most job openings for Silicon Valley Data Science jobs include:
What job categories do people searching Silicon Valley Data Science jobs look for? The top searched job categories for Silicon Valley Data Science jobs are:
Silicon Valley Data Science jobs near you
Infographic showing various Silicon Valley Data Science job openings in the United States as of June 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist Intern

Data Scientist Intern

Brilent

San Mateo, CA • On-site

Full-time, Internship

Posted 24 days ago

Job description

Company Description
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft.
Job Description
As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers.
Responsibilities
  • Perform large-scale data analysis, find interesting patterns and translate them into product improvements
  • Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives
  • Develop data infrastructure and improve data collection and processing tools and techniques

Qualifications
  • Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred
  • Proficient in SQL and able to write complex SQL queries
  • Experience with scripting languages such as Java and Python
  • Excellent problem-solving and analytical skills
  • Curious and creative about data, and comfort with ambiguity

Additional Information
We offer competitive salaries, meals, snacks, etc.

Apply