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Entry Level Python Data Science Jobs in San Francisco, CA

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ... Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ... Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ... Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science

San Francisco, CA · On-site

$90 - $120/hr

  • Medical

  • Life

Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our ... Strong proficiency in Python and generative AI frameworks such as LangChain or LlamaIndex.

New

Data Science & Quantitative Analysis Expert Type: Contract Compensation: $60-$90/hour Location ... Proficiency in Python (pandas, NumPy ) and Git . * Strong data-analysis skills: data cleaning ...

... entry level Master's or PhD students in Computer Science, Operations Research, Statistics ... data collected about you, please visit Faire's Privacy Notice

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

From staffing to full implementation of projects we provide the highest quality IT Services. We Focus on Java/Full stack and Data Science/Machine learning/Python/AI candidates. You'll be responsible ...

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 ...

Senior Data Scientist

San Francisco, CA · On-site

$123.20 - $218/hr

... Python. * Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL. * BS/MS/PhD in Computer Science or a related field. Our Commitment to Diversity and ...

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 ...

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Entry Level Python Data Science information

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$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.

AIA MLEU - Python Data Scientist

Avani Technology Solutions, Inc.

San Francisco, CA • On-site

Contractor

Re-posted 20 days ago


Job description

• Proven experience as a Data Scientist for at least 2 projects • Experience in data profiling and data mining process • Statistical Analysis and modeling for predictions based on multiple dependent factors • Must be strong in Predictive modeling such as linear/logistic regression modeling and other Machine Learning techniques like Neural Network etc. • Knowledge of statistical methods to understand the trends and patterns hidden in the data • Define, design, implement, train and test the analytical models • Strong Analytical mind and business acumen • Specify, design, and implement new data science applications, methodologies, models, and algorithms • Bachelor's degree in Computer Science along with any Machine Learning certifications • Extensive experience in programming languages Python, scikit learn, AWS Sagemaker - 2 year is Must • Exposure in Building ML Model on AWS Platform. • Any exposure in handling MLOps using for Machine Learning Model deployment will be a big plus • Candidate must be good at writing SQL queries using PySpark / Spark SQL • Provide forward-thinking recommendations to business in a big data environment as and when needed. • Excellent communication and presentation skills to present in multiple vendor environment
Hours : 8:00am to 5:00pm
Education :
Additional Job Details :