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Scientist Python Jobs in Milpitas, CA (NOW HIRING)

Build and deploy machine learning models using Python and relevant frameworks, focusing on ... Demonstrated expertise in BI, data science, and deployment of AI/ML models in business environments ...

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.

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.

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 ...

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 ...

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 ...

Required : • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. • Familiarity ...

Required : • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. • Familiarity ...

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 ...

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

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.

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

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Scientist Python information

See Milpitas, CA salary details

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How much do scientist python jobs pay per year?

As of Aug 11, 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 does a Scientist Python 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?

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.

How much does a scientist Python make?

A Python scientist, often called a data scientist or machine learning engineer, typically earns between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced skills in Python, data analysis, and machine learning tools can lead to higher salaries, especially in tech hubs or specialized sectors.

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.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, along with experience in data analysis, modeling, and visualization. Strong programming skills, relevant certifications, and knowledge of cloud platforms can enhance job prospects in this field.
What are popular job titles related to Scientist Python jobs in Milpitas, CA? For Scientist Python jobs in Milpitas, CA, the most frequently searched job titles are:
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:

Senior Data Scientist

Namely

Mountain View, CA • On-site

$120 - $160/hr

Other

Posted 6 days ago


Job description

We are searching for a skilled Senior Data Scientist/Engineer to help fuel our team's data-driven impact. The ideal candidate is passionate about leveraging data to solve complex business problems, has hands‑on experience across the modern data engineering and data science stack, and contributes as a dependable, collaborative team member.

Responsibilities
  • Partner across business functions to drive actionable insights and impactful data solutions through clear communication and storytelling.
  • Design and develop comprehensive dashboards, analytics pipelines, and machine learning models to support critical business objectives.
  • Implement and optimize data workflows using Snowflake (including features like Cortex, Intelligence, Horizon, and Snowpipe).
  • Build and deploy machine learning models using Python and relevant frameworks, focusing on applications such as predictive analytics, recommendation engines, and automation.
  • Collaborate with engineering and analytics teams to drive experimentation, feature engineering, model evaluation, and deployment processes.
  • Write scalable and efficient SQL to analyze and transform data; construct trusted datasets and data products in Snowflake.
  • Build and deploy workflow automations using Python.
  • Mentor junior team members, review their work, and ensure delivery quality and reliability.
  • Translate evolving business requirements into effective data solutions to enable strategic and tactical decision making.
  • Champion data quality and governance, addressing issues proactively and maintaining high data standards.
  • Empower business users to access data and insights through modern self-service tools.
Qualifications
  • Excellent communication skills; experience collaborating across business and technical teams.
  • Demonstrated expertise in BI, data science, and deployment of AI/ML models in business environments.
  • 6+ years of hands‑on experience in data analysis, engineering, and visualization.
  • 2+ years of strong hands‑on experience with Snowflake, including in-depth exposure to Snowflake Cortex, Snowflake Intelligence, Horizon, and Snowpipe.
  • Proficiency with Python and/or R for data analysis, model building, and pipeline automation.
  • Certification in Snowflake or AI/ML technologies is a plus.
  • Familiarity with MLOps, cloud platforms, and deploying ML models at scale.
  • Solid understanding of data warehousing, ETL processes, and building scalable data products.
  • Exposure to various tools across the modern data engineering and data science ecosystem.
  • Bachelor’s degree in Computer Science, Data Science, or a related discipline (advanced degrees or relevant certifications add an advantage).
  • A dependable attitude—committed, collaborative, and motivated to help the team succeed.
Additional Skills
  • Skills in dbt, Fivetran, Airflow, or similar ETL/data orchestration tools.
  • Exposure to predictive analytics in domains such as customer analytics, finance, customer service, or revenue modeling.
  • Familiarity with GenAI, LLMs, or vector databases for innovative enterprise use cases.
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