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Scientist Python Jobs in Santa Clara, CA (NOW HIRING)

Snowflake

Senior Data Scientist

Menlo Park, CA · On-site

... scientific Python ecosystem; fluency in SQL. • Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark). • Demonstrated ability to lead ...

Glow Networks

Python Developer

Mountain View, CA · On-site

$59.25 - $81.75/hr

Qualifications:** - Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience. - 3+ yrs of proven experience working as a Python Developer. - Strong understanding ...

Snowflake

Senior Data Scientist

Menlo Park, CA · On-site

$156K - $224K/yr

Strong proficiency in Python and the scientific Python ecosystem; fluency in SQL. * Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark)

Kanak Elite Services Inc

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Role: Python Developer Locations: Sunnyvale, CA (3 Days Onsite) Project Duration: 06+ Months ... degree in Computer Science/Engineering or equivalent * 7+ years of experience as a software ...

Kanak Elite Services Inc

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

PYTHON DEVELOPER LOCATIONS: SUNNYVALE, CA (3 DAYS ONSITE) INTERVIEW PROCESS: 1 ONSITE INTERVIEW ... degree in Computer Science/Engineering or equivalent * 7+ years of experience as a software ...

Jobsbridge

Python Software Developer

San Jose, CA · On-site

$59 - $81.25/hr

Company Description Intelliswift Software, Inc Bachelor's Degree in Computer Science is required ... Python, Java) and scripting skills(Bash) are required with demonstrated ability to solve complex ...

Jobsbridge

Python Software Developer

San Jose, CA

$59 - $81.25/hr

Company Description Intelliswift Software, Inc Bachelor's Degree in Computer Science is required ... Python, Java) and scripting skills(Bash) are required with demonstrated ability to solve complex ...

Jobsbridge

Python Software Developer

San Jose, CA · On-site

$59 - $81.25/hr

Company Description Intelliswift Software, Inc Bachelor's Degree in Computer Science is required ... Python, Java) and scripting skills(Bash) are required with demonstrated ability to solve complex ...

Jobsbridge

Python Software Developer (Only Local)

San Jose, CA · On-site

$59 - $81.25/hr

Company Description Intelliswift Software, Inc Description Bachelor's Degree in Computer Science is ... Self-directed work style with minimum supervision Expert level programming (Python, Java) and ...

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All JobsScientist Python JobsScientist Python Jobs in Santa Clara, CA

Scientist Python information

See Santa Clara, CA salary details

$44K

$144.1K

$230.8K

How much do scientist python jobs pay per year?

As of Aug 8, 2026, the average yearly pay for scientist python in Santa Clara, CA is $144,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $159,700.00 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 Santa Clara, CA? For Scientist Python jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Santa Clara, CA look for? The top searched job categories for Scientist Python jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Scientist Python jobs? Cities near Santa Clara, CA with the most Scientist Python job openings:
Scientist Python jobs near you
Infographic showing various Scientist Python job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $144,149 per year, or $69.3 per hour.

Senior Data Scientist

Snowflake

Menlo Park, CA • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Snowflake is a company dedicated to powering the era of the agentic enterprise, seeking AI-native thinkers to reinvent how they work. The Senior Data Scientist will lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics, working at the intersection of machine learning and business strategy.
Responsibilities:
• Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting).
• Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics.
• Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulation.
• Apply advanced statistical and ML techniques to model customer behavior, product adoption, revenue dynamics, and cost trends.
• Drive improvements in automation, monitoring, drift detection, and lifecycle management of forecasting models.
• Partner with Finance, Product, and Sales teams to quantify the impact of new initiatives and understand key business drivers.
• Mentor and provide technical guidance to other data scientists; raise the bar for modeling rigor and production quality across the team.
Qualifications:
Required:
• Advanced degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent practical experience.
• 8+ years of experience building and deploying production-grade ML or statistical systems, with significant experience in time-series modeling.
• Deep expertise in probabilistic modeling, forecasting methodologies, and model evaluation techniques.
• Strong proficiency in Python and the scientific Python ecosystem; fluency in SQL.
• Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark).
• Demonstrated ability to lead technically ambiguous projects with significant business impact.
• Excellent communication skills, with experience presenting complex quantitative findings to executive stakeholders.
• A track record of elevating technical standards and mentoring other scientists.
Company:
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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