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Scientist Python Jobs in Milpitas, CA (NOW HIRING)

Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · On-site

$142K - $192K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Technical Skills: * Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.

Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · Hybrid

$142K - $192K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Technical Skills: * Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.

Apple

FindMy Data Scientist

Cupertino, CA

$144K - $263K/yr

... in Python or Scala) to drive hypothesis generation and support collaborative decision-making with ... science problems Explore rapidly evolving ML and GenAI techniques, prototyping new approaches to ...

Aven

Data Scientist

Campbell, CA · On-site

Expert knowledge of a scientific computing language (such as R or Python) and SQL * Theoretical and applied expertise in statistics, machine learning and experimental design * Excellent written and ...

(unknown company)

Data Scientist

Sunnyvale, CA · On-site

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer ... Java, Scala, C/C++. - Knowledge of one of the scripting languages such as Python or Perl ...

(unknown company)

Data Scientist

Sunnyvale, CA · On-site

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer ... Java, Scala, C/C++. - Knowledge of one of the scripting languages such as Python or Perl ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong Python programing Department Overview The Data Science & Artificial Intelligence Department ...

Samsung

Data Scientist

San Jose, CA

Experience with scripting languages such as Python; Understanding of main statistical methods ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required M.

Samsung

Data Scientist

San Jose, CA · On-site

... as Python; • Understanding of main statistical methods; • Understanding of sampling techniques; • Understanding of descriptive and inferential statistics concepts; • Business domain ...

Apple

Data Scientist, Maps Evaluation

Cupertino, CA

$144K - $263K/yr

... in Python or Scala) to drive hypothesis generation and support collaborative decision-making with our partner teams in Product, Design, Engineering, and Marketing Design, create and validate ...

Apple

Data Scientist

Cupertino, CA · On-site

... Python, Scala, Java) Proficient in at least one database language (e.g., SQL) Capable of ... scientists and leading projects of varying sizes and scopes

Embedding VC

Data Scientist

Redwood City, CA · On-site

First Data Scientist hire in the US - set the bar, shape the function, and build the foundation of ... Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation ...

AppLovin

Applied Research Scientist

Palo Alto, CA · On-site

The Applied Research Scientist role focuses on developing advanced technologies in machine learning ... in Python and experience with Deep Learning frameworks (preferably PyTorch). • Strong ...

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All JobsScientist Python JobsScientist Python Jobs in Milpitas, CA

Scientist Python information

See Milpitas, CA salary details

$43.7K

$143K

$229K

How much do scientist python jobs pay per year?

As of Jul 19, 2026, the average yearly pay for scientist python in Milpitas, CA is $143,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $158,500.00 per year, depending on experience, location, and employer.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python, and why are they important?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What job categories do people searching Scientist Python jobs in Milpitas, CA look for? The top searched job categories for Scientist Python jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Scientist Python jobs? Cities near Milpitas, CA with the most Scientist Python job openings:
Scientist Python jobs near you
Senior GenAI Engineer (Python)

Senior GenAI Engineer (Python)

Evolver

Palo Alto, CA • On-site

$142K - $192K/yr

Full-time

Re-posted 21 days ago

Job description

About Us:
We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services.
Role Overview:We are looking for an experienced Python developer with a passion for Generative AI and hands-on expertise in cloud development. As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered.
Key Responsibilities:
  • GenAI Development: Build a platform to support enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks.
  • Cloud Development: Design and implement robust, cloud-native solutions, preferably on Azure.
  • Full-Stack Contribution: Drive development from concept to deployment, ensuring seamless integration across back-end and front-end components.
  • Model Optimization: Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt engineering and agent plans.
  • Collaboration: Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
  • Mentorship: Guide and support junior developers to foster technical growth within the team.
  • Innovation: Stay ahead of emerging trends in AI and GenAI to continuously elevate our technical capabilities.

Qualifications:
Experience:
  • 6+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.
  • 2+ years of hands-on experience building and deploying AI/ML solutions in Azure.

Education:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Technical Skills:
  • Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.
  • Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
  • Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents.
  • Familiarity with GenAI frameworks like LangChain, Semantic Kernel, or equivalent tools.

Soft Skills:
  • Excellent communication and collaboration skills in team-driven environments.
  • Analytical mindset with a strong focus on problem-solving.
  • Comfortable working in a fast-paced, dynamic startup culture.
  • Eagerness to learn and contribute to cutting-edge technologies.

Benefits
  • Competitive Compensation: Tailored to your experience and skill set.
  • Flexible Work Arrangements: Hybrid working model for work-life balance.
  • Career Growth: Opportunities for professional development and leadership roles.
  • Innovative Culture: Work on transformative technologies and make an impact in the AI space.

Apply