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

Superhuman

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ... Strong fluency in SQL, R, Python, and/or modern data tooling, with the ability to guide teams on ...

Hinge Health, Inc

Data Science Manager

San Francisco, CA · On-site

$220K - $330K/yr

We are seeking a Manager, Data Science to lead the data strategy for two critical areas of our ... Strong proficiency in SQL and Python for data manipulation and analysis. * Deep understanding of ...

Jj

Data Science Lead

Milpitas, CA · On-site +1

$148K - $168K/yr

Data Science Lead Job Code: A011.4794 Job Location: Milpitas, CA Job Type: Full-Time Rate of Pay ... Develop computational solutions in scripting languages such as Julia and Python. May telecommute ...

Johnson and Johnson

Data Science Lead

Milpitas, CA · On-site

$148K - $168K/yr

Data Science Lead Job Code: A011.4794 Job Location: Milpitas, CA Job Type: Full-Time Rate of Pay ... Develop computational solutions in scripting languages such as Julia and Python. May telecommute ...

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 ...

Sunrise Systems, Inc.

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 ...

Adobe, Inc.

Sr. Manager, People Data Science

San Jose, CA · On-site

$161K - $303K/yr

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 ...

Adobe

Sr. Manager, People Data Science

San Francisco, CA · On-site

$161K - $303K/yr

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 ...

Adobe

Sr. Manager, People Data Science

San Jose, CA · On-site

$161K - $303K/yr

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 ...

Tencent

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 ...

Aven

Data Scientist

Campbell, CA · On-site

Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science ... Expert knowledge of a scientific computing language (such as R or Python) and SQL * Theoretical and ...

SoFi

Senior Manager, Data Science

San Francisco, CA · On-site

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 ...

Adobe, Inc.

Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

Proven hands - on experience in Python/PySpark/Scala and ability to manipulate data using Pandas ... scientists and machine learning engineers daily. Nice to have * Showcase your work if you are an ...

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How much do python data science jobs pay per hour?

As of Jul 16, 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.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

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.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. 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 automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
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:
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Python Data Science jobs near you
Senior Product Data Scientist, Google Play, DSA

Senior Product Data Scientist, Google Play, DSA

Google

Mountain View, CA • On-site

Full-time

Posted 5 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree.

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

About the job
At Play DSA, we work on a variety of challenging data science projects to drive product and go-to-market decisions for Play. Our outlook is to Power Play's growth by building a deep understanding of our users and developers, enabling data-driven decision making, through strategic insights, thought leadership, and unified data foundations.
This team is truly embedded in the product development lifecycle: we are thought partners from project ideation to experimentation, and our deep dive analyses consistently help set strategy for the wider area we work on. This role includes components of strategy, Data Science and Analytics (DSA), and influencing via effective communication. Our team partners with executive leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, Product Managers, UX, and other cross-functional stakeholders to build amazing products that delight our users, and then get those products into their hands.Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Work across cross-platform games, developer success, and games ecosystem to further our understanding of the Games business and the loyalty program at Play.
  • Partner with Games Data Science and Product Strategy team members, Play Games, Product Management, Engineering, Product Marketing Manager, UX and other teams to understand user behavior, design/analyze experiments and drive product insights to improve user experiences.
  • Deliver effective presentations of findings and recommendations to multiple levels of leadership, shaping Play's investment in Games.
  • Be passionate for gaming and knowledge of gaming industry.
  • Perform statistical analyses in R/Python, data extraction using SQL, and build pipelines and dashboards using business intelligence platform tools.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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