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Silicon Valley Data Science Jobs (NOW HIRING)

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 ...

MeshyAI

Senior Data Scientist

Sunnyvale, CA · On-site

MeshyAI is a leading 3D generative AI company headquartered in Silicon Valley, focused on transforming the content creation pipeline. They are seeking a Senior Data Scientist to design, build, and ...

Grid Dynamics Holdings

Staff Data Scientist

Chicago, IL · On-site

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field ... Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas ...

Brilent

Senior NLP Scientist/Engineer

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 ...

Clara Analytics

Staff Data Scientist (Insurance Claims)

$200K - $220K/yr

Founded in 2017, CLARA Analytics is headquartered in California's Silicon Valley. For more information, visit www.claraanalytics.com. About the role We're seeking a Staff Data Scientist to architect ...

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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 9, 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.
Applied Data Scientist

Applied Data Scientist

Hop

San Francisco, CA

Full-time

Posted 18 days ago

Job description

Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.

We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.

Location: San Francisco, SoMa — minimum 4 days per week in-office.

What you'll do

• Build and maintain ML models for classification, extraction, trend detection, and predictive scoring on large structured and unstructured datasets.
• Design experiments and benchmarks to measure model accuracy, reduce bias, and validate outputs at scale.
• Apply NLP techniques — embeddings, NER, text classification — to real-world data pipelines.
• Partner with engineering to move models from experimentation to production; own monitoring and drift detection.
• Build evaluation frameworks for AI-generated outputs across multiple product use cases.

What we require

• BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field.
• 3–5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production.
• Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL.
• Demonstrated track record of shipping models into production, not just producing analysis.
• Experience with embedding models and semantic similarity at enterprise scale.
• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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About Hop

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

West Hollywood, CA, US

Year founded

2020

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