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Entry Level Python Data Science Jobs in San Francisco, CA

Required : • Significant experience in data science or applied analytics in high-stakes domains ... and Python (or equivalent) for analysis, modeling, and building monitoring workflows. • ...

Proficiency in Python or R, with experience in modern data science workflows (Linux, Git, reproducible pipelines, etc...) * Interest in translating research innovations into production-ready systems ...

Proficiency in Python or R, with experience in modern data science workflows (Linux, Git, reproducible pipelines, etc...) * Interest in translating research innovations into production-ready systems ...

Proficiency in Python or R, with experience in modern data science workflows (Linux, Git, reproducible pipelines, etc...) * Interest in translating research innovations into production-ready systems ...

Proficiency in Python or R, with experience in modern data science workflows (Linux, Git, reproducible pipelines, etc...) * Interest in translating research innovations into production-ready systems ...

(USA) Senior, Data Scientist

Hayward, CA · On-site

$117K - $234K/yr

Members apply expertise in data science, machine learning, and Python programming to optimize model performance and deployment. The group emphasizes rigorous data quality, advanced analytics, and ...

Members apply expertise in data science, machine learning, and Python programming to optimize model performance and deployment. The group emphasizes rigorous data quality, advanced analytics, and ...

Have you ever translated econometric models (R/Stata) into production Must-Have Skills: 1) ≥4 years in data science, ML engineering, or AI development roles 2) Strong Python proficiency 3) ...

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Entry Level Python Data Science information

See San Francisco, CA salary details

$15

$69

$101

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

As of Aug 20, 2026, the average hourly pay for entry level python data science in San Francisco, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.

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?

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 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 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 Francisco, CA?

The most popular types of Python Data Science jobs in San Francisco, CA are:

What are popular job titles related to Entry Level Python Data Science jobs in San Francisco, CA?

For Entry Level Python Data Science jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in San Francisco, CA look for?

The top searched job categories for Entry Level Python Data Science jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Entry Level Python Data Science jobs?

Cities near San Francisco, CA with the most Entry Level Python Data Science job openings:

Infographic showing various Entry Level Python Data Science job openings in San Francisco, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $143,658 per year, or $69.1 per hour.

Data Science Undergraduate Major Advisor (5156) Job #88073 - Data Science Undergraduate Studies (DSU

Berkeley University of California

Berkeley, CA • On-site

Full-time

Posted 8 days ago


Job description

At the University of California, Berkeley , we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom, and belonging makes it a special place for students, faculty, and staff, who are among the most talented and accomplished anywhere, including Nobel laureates, Pulitzer Prize winners, and MacArthur Fellows. Since our founding in 1868, we have been an engine for innovation - driving intellectual, economic, and social progress that benefits California, the U.S., and beyond. Together, we change the world.
At Berkeley, the best careers are built on a foundation of continuous learning and growth . We actively support professional development by providing all full-time staff employees with at least 80 hours of paid time per year and providing space for supportive colleague communities via numerous employee resource groups.
We invite applicants who are inspired by our Principles of Community and who are eager to be part of our exciting Strategic Pla n, which charts Berkeley's next era of excellence.
Learn more about some of our accomplishments at Points of Pride.
Departmental Overview
Data Science Undergraduate Studies (DSUS) offers a range of academic, cocurricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond. Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.
DSUS is part of the College of Computing, Data Science and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.
UC Berkeley Data Science Undergraduate Studies (DSUS) has been pioneering an open-source teaching stack with many components. This position would be responsible for software maintenance and development. Technical knowledge would include programming in Python, knowledge of the Data Science software stack, knowledge of GitHub, and familiarity with course infrastructure. This position would be responsible for supporting and training instructors, administrative staff, students on course staff, and enrolled students who all interact with the teaching stack software. This role would create staff resilience to support key elements of course infrastructure across classes and time, since students on course staff may change each semester.
The Data Science Undergraduate Major Advisor role involves a wide range of student services duties and responsibilities for an academic department/school/college or organization. The incumbent will assist the Dean/Chair, faculty, and students in academic advising, recruitment, admissions, financial aid, visa/immigration matters, the evaluation and awarding of fellowships and block grant funds, student orientation and events, career counseling, and related programs.
Application Review Date
The First Review Date for this job is: 8/24/26 - Open until filled
Responsibilities
60% Academic Advising: Advises undergraduates on course selection, program policies and requirements, admission to the major and minor, and fulfilling requirements for graduation through a range of methods including in-person appointments, drop-ins, and electronic communication. Using a thorough knowledge of curricular and extracurricular options, advises students on a wide range of paths to complete degree requirements and achieve intellectual and career goals. Serves as a resource to undergraduate students on Data Science faculty, academic resources, undergraduate research opportunities, mentoring, tutoring, scholarships, internships, and career planning resources; refers students appropriately to staff, faculty, and campus units for information and assistance. Assists students in identifying strengths and barriers to academic success, and in developing short- and long-term goals. Evaluates degree progress and recommends solutions to progression and requirement issues. Provides feedback and guidance to program faculty and leadership on student curricular needs.
25% Student Orientation, Recruitment and Admissions: Plans and implements outreach programs with specifically targeted institutions; advises prospective applicants on necessary academic preparation; appropriateness of program as it pertains to the prospective applicant's goals; utilizing in-depth knowledge of the organization's admissions criteria, helps rank applicants for admissions; evaluates domestic and international transcripts for degree eligibility; initiates and arranges student recruitment visits. Oversees and may conduct orientations of new students. Plans, designs, and provides workshops for students, such as information about the organization, or academic strategies and enrichment programs.
10% Career Counseling: Advises department/college/school students on the job market process, and the standards and norms specific to the student's field of study; advises on summer internship programs; develops and maintains a network of departments and regional firms interested in hiring summer students.
5% Professional Development: Maintains professional growth and development through attendance at training sessions, seminars, conferences, cross-campus committees, and through participation on campus-wide committees and in professional organizations. Attends and gives presentations on campus and at conferences such as UC Berkeley Stay Day, UC system-wide Academic Advising Conferences, and regional and national NACADA conferences.
Required Qualifications
  • Working knowledge of advising and counseling techniques.
  • Knowledge of University-specific computer application programs and knowledge of University and departmental principles and procedures involved in risk assessment and evaluating risks as to likelihood and consequences.
  • Solid verbal and written communication skills.
  • Interpersonal skills. Required Multicultural competencies; ability to work with diverse populations.
  • Ability in problem identification and reasoning; ability to develop original ideas to solve problems.
  • Skills in judgment and decision-making, problem-solving, identifying measures of system performance, and actions to improve performance.
  • Bachelor's degree in a related area and/or equivalent experience/training.
Salary & Benefits
For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.
Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.
The budgeted salary or hourly range that the University reasonably expects to pay for this position is $64,260 - $90,000.
Conviction History Background
This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.
Mandated Reporter
This position has been identified as a Mandated Reporter required to report the observed or suspected abuse or neglect of children, dependent adults, or elders to designated law enforcement or social service agencies. We reserve the right to make employment contingent upon completion of signed statements acknowledging the responsibilities of a Mandated Reporter.
Misconduct Disclosure
As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.
Misconduct means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:
UC Sexual Violence and Sexual Harassment Policy
UC Anti-Discrimination Policy
Abusive Conduct in the Workplace
Equal Employment Opportunity
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.