Data Scientist Jobs in Santa Clara, CA
Data Scientist jobs in Santa Clara are concentrated in the Central Expressway corridor, the Caltrain-adjacent office parks near Bowers Avenue, and the dense tech campuses stretching toward the Great America Parkway, with heavy demand in semiconductor analytics, enterprise SaaS, and applied machine learning. Employers hiring right now include Applied Materials, NVIDIA, and Picarro. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 448+ Data Scientist jobs
Who We Are
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
What We Offer
Salary:
$170,000.00 - $234,000.00Location:
Santa Clara,CAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .
Key Responsibilities:
Applied Materials’ Joint Operations Leadership (JOLT) Data Science team is seeking a Data Scientist to join our growing organization. JOLT plays a critical role in rebuilding customer trust, creating an agile and resilient supply chain, reshaping supplier relationships, driving operational excellence, and maximizing profitability through advanced analytics, AI, and machine learning.
This role offers the opportunity to work on high‑impact, cross‑functional initiatives and to develop end‑to‑end AI solutions—from problem formulation to production deployment.:
Works in project teams developing difficult analytical models, algorithms and automated processes, research and develop machine learning models from inception to deployment.
Work on GenAI and LLM projects, including fine-tuning models, creating embedding-based search systems, and developing AI-driven prototypes to enhance business operations.
Directing architects to design and solution GenAI architectures for stakeholders, specifically for plugin-based solutions and custom GenAI application builds.
Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast, pattern recognition, etc.
Interfaces with stakeholders for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions.
Identify opportunities for forecast accuracy improvement and provide business insights and additional perspectives to Service Supply Chain leadership
Collaborate with Material Planning, Field Operations, Inventory Management, NPI, Production Demand Planning, Reliability Engineering, Service Campaigns Teams to gather data and bring information on key business drivers that impact the future demand on Service Parts and Accessories
Requirements
Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).
3-5 years of industry experience in applied machine learning or related AI work.
Hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
Can work collaboratively with cross-functional teams.
Hands-on experience with:
Building GenAI-focused application and applying LLMs and agentic AI (e.g., agents, reasoning workflows, or RAG)
Have personally implemented models in common Deep Learning frameworks such as PyTorch, Jax or TensorFlow.
MLOps, including model deployment, versioning and performance monitoring in production environments
Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries.
Excellent analytical and problem-solving abilities, Machine Learning Concepts
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.
Interpersonal Skills
- Communicates difficult concepts and negotiates with others to adopt a different point of view
Location
Santa Clara, CA; on-site full-time
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesThe salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
Who We Are
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
What We Offer
Salary:
$170,000.00 - $234,000.00Location:
Santa Clara,CAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .
Key Responsibilities:
Applied Materials’ Joint Operations Leadership (JOLT) Data Science team is seeking a Data Scientist to join our growing organization. JOLT plays a critical role in rebuilding customer trust, creating an agile and resilient supply chain, reshaping supplier relationships, driving operational excellence, and maximizing profitability through advanced analytics, AI, and machine learning.
This role offers the opportunity to work on high‑impact, cross‑functional initiatives and to develop end‑to‑end AI solutions—from problem formulation to production deployment.:
Works in project teams developing difficult analytical models, algorithms and automated processes, research and develop machine learning models from inception to deployment.
Work on GenAI and LLM projects, including fine-tuning models, creating embedding-based search systems, and developing AI-driven prototypes to enhance business operations.
Directing architects to design and solution GenAI architectures for stakeholders, specifically for plugin-based solutions and custom GenAI application builds.
Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast, pattern recognition, etc.
Interfaces with stakeholders for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions.
Identify opportunities for forecast accuracy improvement and provide business insights and additional perspectives to Service Supply Chain leadership
Collaborate with Material Planning, Field Operations, Inventory Management, NPI, Production Demand Planning, Reliability Engineering, Service Campaigns Teams to gather data and bring information on key business drivers that impact the future demand on Service Parts and Accessories
Requirements
Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).
3-5 years of industry experience in applied machine learning or related AI work.
Hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
Can work collaboratively with cross-functional teams.
Hands-on experience with:
Building GenAI-focused application and applying LLMs and agentic AI (e.g., agents, reasoning workflows, or RAG)
Have personally implemented models in common Deep Learning frameworks such as PyTorch, Jax or TensorFlow.
MLOps, including model deployment, versioning and performance monitoring in production environments
Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries.
Excellent analytical and problem-solving abilities, Machine Learning Concepts
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.
Interpersonal Skills
- Communicates difficult concepts and negotiates with others to adopt a different point of view
Location
Santa Clara, CA; on-site full-time
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesThe salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
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Find Data Scientist JobsData Scientist Job Market in Santa Clara
Who's Hiring
- Applied Materials168
- NVIDIA56
- Picarro56
- Versa Networks56
- Palo Alto Networks56
Top Industries Hiring
- Manufacturing
- Electronics & Hardware
Data Scientist Jobs in Santa Clara: Frequently Asked Questions
How do I get a data scientist job in Santa Clara?
Focus your search on Santa Clara's core hiring sectors: semiconductor and chip design firms, enterprise SaaS companies, and the networking and infrastructure vendors concentrated near the Intel and Nvidia campuses. Candidates who can demonstrate fluency in SQL, Python, and ML pipeline tooling get the most callbacks here. Practical experience with large-scale product or sensor data is a clear differentiator given how many local employers work at chip or infrastructure scale.
Which companies hire data scientists in Santa Clara?
Companies currently hiring data scientists in Santa Clara include Applied Materials, NVIDIA, and Picarro, per current listings on Migrate Mate as of September 2026. Santa Clara's employer mix skews heavily toward hardware-adjacent tech firms, enterprise software vendors, and semiconductor manufacturers, many headquartered directly in the city's established corporate parks.
Are there remote data scientist jobs in Santa Clara?
Yes, though availability depends on the role: analytical and modeling positions tend to be remote-friendly, while roles tied to proprietary hardware, on-site data infrastructure, or embedded sensor systems typically require in-person presence. About 60% of data scientist openings tied to Santa Clara are remote or hybrid as of September 2026. Model development and reporting roles at SaaS employers are the most consistently flexible for remote arrangements.
How can I get a data scientist job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is through associate or junior data analyst roles at mid-size SaaS or semiconductor firms, which regularly hire candidates who can show project-based work in Python or SQL even without a long resume. Internship pipelines at Santa Clara University and nearby programs feed directly into local employers. Building a portfolio that includes structured datasets, clear visualizations, and documented model logic matters more in this market than degree prestige alone.
Which industries hire the most data scientists in Santa Clara?
Most data scientist openings in Santa Clara sit in Manufacturing and Electronics & Hardware, per current listings on Migrate Mate as of September 2026. Santa Clara's concentration of semiconductor manufacturers, networking infrastructure companies, and enterprise cloud vendors creates sustained demand for data scientists who can work with hardware telemetry, product usage data, and large-scale operational datasets.
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