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Silicon Valley Data Science Jobs (NOW HIRING)

... Shanghai, Silicon Valley, Singapore, Tokyo and Washington, D.C. The firm has consistently been ... The Compliance & Data Science Consultant supports the Lab's compliance advisory and data analytics ...

Data Scientist II, MCM

Menlo Park, CA · On-site

$125 - $150/hr

... Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore ... Uphold data science excellence: Apply best practices in analysis, modeling, and experimentation ...

New

$125 - $150/hr

... Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore ... Uphold data science excellence: Apply best practices in analysis, modeling, and experimentation ...

New

... and data science algorithms and tools (e.g., PyTorch). • Ability to produce meaningful ... MindSource has delivered software solutions for over two decades to many hundreds of Silicon Valley ...

... silicon valley bank companies closing) - Another project is a federal program that looks at loss ... data science and machine learning space good in finance - Pittsburgh and Lake Mary are available ...

Opportunity to join one of the fastest growing Conversational AI companies in US/Silicon Valley ... Understanding and experience in working on Machine Learning algorithms and Data Science projects.

... 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 ...

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Silicon Valley Data Science information

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$37.5K

$122.7K

$196.5K

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

As of Sep 8, 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 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?

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.

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.

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:

Infographic showing various Silicon Valley Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Palantir Developer/Palantir Foundry Developer

Pleasanton, CA • On-site, Remote

Full-time

Re-posted 6 hours ago


Job description

Company Description
Data Piper provides specialized and competitive talent to help you build your team's capabilities and success. Our staff have proven experience from the most competitive companies in Silicon Valley, so you know they have the experience and dedication that you can trust. For short or long-term assignments, we will take the hassle out of finding the next perfect fit for your team.
Job Description
Key Responsibilities
  • Developer on Foundry and AIP solutions and projects.
  • Support other developers, some learning Palantir, on project teams.
  • Architect solutions and tools based on client and project manager requirements.
  • Work with a project manager and/or SCRUM lead to ensure delivery success.
  • Develop frameworks for standard solution offerings that can be deployed quickly and then customized based on client requirements.
  • Cross-collaboration between markets, variable business units, and geographies (global time zones).
  • Work with global product teams to develop innovative solutions and products in Palantir Foundry.

We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery.
Here's what you'll need
Primary Requirements
  • Hands-on experience with Python
  • 2+ years' experience with Palantir Foundry
  • Experience with Large Language Models (LLMs)
  • Experience in Data Engineering, Data Analytics, Data Science, Software Engineering/Development, Software Architecture, etc

Qualifications
Palantir Foundry, Python, AI/ML
Additional Information
All your information will be kept confidential according to EEO guidelines.