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Python Data Science Jobs in San Jose, CA (NOW HIRING)

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 ...

Senior Data Scientist

San Ramon, CA · On-site

$100 - $105/hr

Python, R, SQL * Statistics, Mathematics & Feature Engineering * Model Development, Evaluation ... The ideal candidate will translate business problems into scalable data science solutions, build ...

New

Experience contributing to a mature Python-centric code base. * Strong command of common data science toolkits (Pandas, Numpy, Matplotlib, sci-kit learn). * Experience writing SQL and working with ...

Data Scientist

San Ramon, CA · On-site

$93.14 - $98.14/hr

Strong command of languages like Python, R, and SQL for data manipulation and model development ... Provides hands-on execution and implementation of data science models. * Translates business ...

New

Experience with Python, R, Scala, SQL Experience developing solutions with Pandas/Scikit-learn, Spark or comparable technologies Experience data science notebooks (Jupyter, Zeppelin or other ...

New

Experience contributing to a mature Python-centric code base. * Strong command of common data science toolkits (Pandas, Numpy, Matplotlib, sci-kit learn). * Experience writing SQL and working with ...

Experience contributing to a mature Python-centric code base. * Strong command of common data science toolkits (Pandas, Numpy, Matplotlib, sci-kit learn). * Experience writing SQL and working with ...

MSAT Data Science Engineer

Newark, CA · On-site

$128K - $154K/yr

They are seeking a highly motivated Data Science Engineer to support manufacturing processes ... SQL, Python and R and data analytics tools, including JMP, Spotfire, Tableau, R-Studio. • ...

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

Developing computational workflows based on Python, SQL, and big data tools to handle and analyze ... A master's degree or PHD in computer science, machine learning, or math/statistics, relevant ...

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

Developing computational workflows based on Python, SQL, and big data tools to handle and analyze ... A master's degree or PHD in computer science, machine learning, or math/statistics, relevant ...

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

The role The Data Science team is seeking a Senior Manager who will help support growth in our SIPS ... Strong programming skills in SQL and Python * Experience with building data visualizations with ...

The role The Borrow Data Science team is seeking a Manager who will help support growth in our ... Strong programming skills in SQL and Python * Experience with building data visualizations with ...

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Python Data Science information

See San Jose, CA salary details

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How much do python data science jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for python data science in San Jose, CA is $68.70, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $78.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a data scientist do with Python?

A data scientist uses Python to analyze and interpret large datasets, develop machine learning models, and create data visualizations. They utilize libraries like pandas, scikit-learn, and matplotlib to extract insights and support data-driven decision-making.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and programming. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to command higher salaries.
What are the most commonly searched types of Python Data Science jobs in San Jose, CA? The most popular types of Python Data Science jobs in San Jose, CA are:
What are popular job titles related to Python Data Science jobs in San Jose, CA? For Python Data Science jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in San Jose, CA look for? The top searched job categories for Python Data Science jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Python Data Science jobs? Cities near San Jose, CA with the most Python Data Science job openings:
Technical Director - Data Science (Discovery)

Technical Director - Data Science (Discovery)

Roblox

San Mateo, CA • Hybrid

Other

Posted 19 days ago


Job description

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY DISCOVERY EXPERIENCES?

We're seeking senior data scientists with expertise in machine learning to join our Discovery Experience team. As IC leaders (individual contributors with a large span of influence), you'll drive strategic decisions for user growth and product innovation, leveraging all data science toolkits (analytics, experimentation, forecasting, and ML solutions) to improve end-to-end consumer journeys on Roblox. The roles will primarily focus on Discovery Experiences. Discovery surfaces (i.e. home, search, matchmaking, notifications) are critical to fostering engagement and long-term relationships with our platform. The complex network of our two-sided marketplace, combined with the ever-evolving metaverse, presents exciting challenges.

This role will report directly into the Senior Director of Data Science (Consumer) and will be based at our headquarters in San Mateo, CA (hybrid, onsite days Tues-Thurs).

You Will:
  • Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints.
  • Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams.
  • Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.
  • Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects.
  • Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments.
  • Design and implement experiments for new features and communicate results succinctly to non-technical audiences.
You Have:
  • Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields
  • 10+ years of industry experience in data science, economics, analytics, or machine learning engineering
  • 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
  • Knowledge of ML and Deep Learning either via formal training or industry experience
  • Ability to apply creative first-principles reasoning to solve ambiguous problems
  • Experience developing large-scale recommendation systems as well as experience with content platforms, specifically user-generated content