ZipRecruiter

Log In

2

Entry Level Python Data Science Jobs in San Francisco, CA

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$69K - $70K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a ... Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy). * Experience ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a ... Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy). * Experience ...

Brilent

Senior Data Scientist

San Mateo, CA · On-site

Company Description Brilent is a data science tech company developing a SaaS solution to help ... Proficient in SQL, R, Python or Java * Excellent written and verbal communication skills * Attitude ...

SupportFinity

Junior Data Scientist

San Francisco, CA · Remote

$10K - $12K/yr

Comfortable using Python, R, and SQL to explore and analyze datasets. * Eager to collaborate with ... Quick learner who stays updated on emerging trends in data science and machine learning. * Enjoys ...

SS&C Technologies

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python Proficiency : Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn ...

SS&C

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python Proficiency : Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn ...

SS&C Technologies Inc

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python Proficiency : Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn ...

Mercor

Data Scientist - AI Evaluation

San Francisco, CA · Remote

$100 - $150/hr

Qualifications Must-Have * 1+ years of professional data science experience. * Experience at a leading technology, research, or quantitative firm. * Strong command of Python , SQL , statistical ...

MasterCard

Data Scientist

San Francisco, CA · On-site

... data science and/or data engineering roles Strong programming skills in SQL and Python is required Hands-on experience with traditional machine learning frameworks (e.g., scikit-learn, TensorFlow ...

Socket.dev

Data Scientist

San Bruno, CA · On-site

$126.60 - $211/hr

D. in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, Operations ... Python or R for statistical analysis and algorithms; and Explaining statistical concepts ...

Anomali Inc.

Senior Data Scientist

Redwood City, CA · On-site

Anomali LABS is the research and data science team at Anomali. We are responsible for conducting ... You are confident using a scripting language like Python, Perl or Ruby and have the ability to pick ...

Triumph

Data Scientist

San Francisco, CA · On-site

... Python and SQL. • Experience working with large-scale user or behavioral datasets. Preferred : • Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

Our team consists of machine learning and data science experts and recruiting veterans from leading ... Experience with scripting languages such as Java and Python * Excellent problem-solving and ...

previous pagenext page

Showing results 21-40

All JobsPython Data Science JobsEntry Level Python Data Science JobsEntry Level Python Data Science Jobs in San Francisco, CA

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:

Entry Level Python Data Science jobs near you
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.

Associate Data Scientist

Hayden AI

San Francisco, CA • On-site

$69K - $70K/yr

Other

Posted 28 days ago

Job description

About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
Job Summary:
Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you'll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.
Responsibilities:
  • Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs
  • Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback
  • Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.
  • Serve as first responder for data discrepancy and freshness issues.
  • Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.
  • Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.
  • Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.
  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:
  • Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.
  • 6+ months of Data Science related work, projects or internships.
  • Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.
  • Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).
  • Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.
  • Experience building and maintaining dashboards in BI tools such as Tableau or Looker.
  • Solid understanding of descriptive statistics and ability to interpret analytical results.
  • Strong communication skills with the ability to present findings to both technical and business audiences.
Preferred Qualifications:
  • Previous experience working with geospatial analytics and spatial datasets.
  • Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).
  • Experience with Grafana or similar operational monitoring tools.
  • Exposure to cloud platforms, especially AWS.
  • Prior experience in a startup environment and a desire to make a significant impact.

Apply