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Entry Level Python Data Science Jobs in San Jose, CA

Data Scientist

San Francisco, CA ยท On-site +1

$110K - $150K/yr

As a Data Scientist you\'ll work within cross-functional delivery teams alongside other analysts ... Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic ...

Minimum 3 years of work experience in analytics or data science * Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation design, and common analytical ...

Minimum 3 years of work experience in analytics or data science * Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation design, and common analytical ...

As Data Science organization, our goal is to harness the power of user data to help Maps make great ... g., Python, Scala, Java)Proficient in at least one database language (e.g., SQL) Capable of ...

Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw ... Top Daily Responsibilities: 1. Support Data-Science and other analytics as needed. 2. Develop SQL ...

... Python stack for data science (NumPy, SciPy, Matplotlib). Demonstrated experience performing geospatial analytics in Python, using GeoPandas or equivalent geospatial tools and libraries.

Data Scientist

Sunnyvale, CA ยท On-site

$130K - $160K/yr

... Science? Would you like to be part of a high caliber team who have access to huge volumes of real ... Proficient in machine learning and data mining packages in R, Python, or Weka. * Experience working ...

Minimum 3 years of work experience in analytics or data science * Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation design, and common analytical ...

Minimum 3 years of work experience in analytics or data science * Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation design, and common analytical ...

Data Scientist

Sunnyvale, CA ยท On-site

$110K - $190K/yr

Strong candidates may come from academic research, measurements in technical industries, or applied data science. You should have experience with: * Hands-on data analysis using Python, SQL, or ...

Bachelor's degree in Computer Science or a related technical field. * Experience in data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis. * Proficiency in Python ...

While there is deep data science behind these solutions, they are packaged in easy-to-use formats ... R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) * Experience defining research ...

While there is deep data science behind these solutions, they are packaged in easy-to-use formats ... R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) * Experience defining research ...

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Entry Level Python Data Science information

See San Jose, CA salary details

$15

$68

$101

How much do entry level python data science jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for entry level 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 some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

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 job categories do people searching Entry Level Python Data Science jobs in San Jose, CA look for? The top searched job categories for Entry Level Python Data Science jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Entry Level Python Data Science jobs? Cities near San Jose, CA with the most Entry Level Python Data Science job openings:
Infographic showing various Entry Level Python Data Science job openings in San Jose, CA as of June 2026, with employment types broken down into 87% Full Time, 2% Part Time, and 11% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $142,904 per year, or $68.7 per hour.
Data Scientist

Data Scientist

Doximity

San Francisco, CA โ€ข On-site, Remote

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Job description

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine\'s largest network in the United States, there\'s an elevated level of responsibility in everything we do. We don\'t take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.

One of Doximity\'s core values is stretching ourselves. Even if you don\'t check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it!

As a Data Scientist you\'ll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare.

This role can be filled in our San Francisco headquarters OR remotely in the U.S.

About Us

  • Here are some of the ways we bring value to doctors
  • Here is an introduction to our tech stackย 
  • We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects
  • We have worked as a distributed team for a long time; we\'re currently about 65% distributed
  • Find out more information on the Doximity engineering blog
  • Our company core values
  • Our recruiting process
  • Our product development cycle
  • Our on-boarding & mentorship process

Here\'s How You Will Make an Impact

  • Leverage Doximity\'s extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
  • Play a key role in creating both product and client-facing analytics.
  • Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy.ย 
  • Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.

About you

  • At least 2 years of professional experience as a data analyst or a data scientist.
  • Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory.ย 
  • Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships.
  • Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly.
  • Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python.
  • Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.)
  • Fast learner; curiosity about and passion for data.

Compensation

The US total compensation range for this full-time position is $110,000 - $150,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.

Benefits

Doximity is proud to offer industry-leading benefits. Some of our offerings include:ย 

  • Medical, dental, vision offerings for you and your family
  • 401k with matching program
  • Employee stock purchase plan
  • Family planning support, Childcare FSA, and parental leave
  • Life, AD&D, and Disability
  • Generous time off, holidays and paid company trips
  • Wellness benefitsโ€ฆplus many more!

More info on Doximity

For the past decade, itโ€™s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members.ย 

Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on peopleโ€™s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. Weโ€™re growing fast, and thereโ€™s plenty of opportunity for you to make an impactโ€”join us! For more information, visit Doximity.com.

____________________________________________

EEOC Statement

Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.