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Entry Level Python Data Science Jobs in San Diego, CA

SQL (Advanced), Python (Advanced), Tableau (advanced), A/B testing (Advanced), Causal Inference ... Develop and automate data analysis pipelines. * Translate complex findings for diverse audiences.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

... with Python, R, or SQL for data manipulation and analysis * 2+ years of experience performing ... Experience performing data science and predictive analytics using tools such as Pandas, Polars ...

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

... with Python, R, or SQL for data manipulation and analysis * 2+ years of experience performing ... Experience performing data science and predictive analytics using tools such as Pandas, Polars ...

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

... Python, R, or SQL, for data manipulation and analysis * 2+ years of experience with data ... Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow ...

... experiencewith Python, R, or SQL for data manipulation and analysis * 2+ years of experience ... Experience performing data science and predictive analytics using tools such as Pandas, Polars ...

Senior AI Scientist

San Diego, CA · On-site

$180K - $243K/yr

Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve ... Science, Statistics, Applied Math, Operations Research, etc.) * 1+ years of industry experience ...

Senior AI Scientist

San Diego, CA · On-site

$180K - $243K/yr

Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve ... Science, Statistics, Applied Math, Operations Research, etc.) * 1+ years of industry experience ...

Full Stack Engineer

San Diego, CA · On-site

$110 - $170/hr

Bachelor's degree in Computer Science/Engineering/Data Science or other STEM related discipline. * Strong knowledge of Linux or Unix-like OS. * Excellent coding skills in Python, Django and ...

Collaborate closely with Data Science and Computational teams to apply in silico drug discovery ... Data analysis skills in R or Python (dose-response fitting, visualization, statistical rigor ...

Associate Software Engineer

San Diego, CA · On-site +1

$110K - $120K/yr

Demonstrated expertise in Python * Experience with data science and algorithm development * Experience with the following: * Object-oriented programming principles * AI-assisted software development ...

New

Senior CV/ML Scientist

San Diego, CA · On-site

$140 - $210/hr

Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ... Master's or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a ...

New

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Entry Level Python Data Science information

See San Diego, CA salary details

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$62

$91

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

As of Aug 21, 2026, the average hourly pay for entry level python data science in San Diego, CA is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.67 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 Diego, CA?

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

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

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

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

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

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

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

Infographic showing various Entry Level Python Data Science job openings in San Diego, CA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $129,457 per year, or $62.2 per hour.

Sr. Data Scientist : 26-02167

Akraya Inc.

San Diego, CA • On-site

$75 - $85/hr

Temporary

Posted 22 days ago


Job description


Primary Skills: SQL (Advanced), Python (Advanced), Tableau (advanced), A/B testing (Advanced), Causal Inference (Intermediate),
Contract Type: W2
Duration: 10 Months
Location: San Diego CA (Li-Hybrid)
Pay Range: 75.00 - 85.00 Per Hour
#LP
Job Summary:
This role involves leveraging advanced analytical techniques to drive growth for a SaaS product. You will collaborate with cross-functional teams to develop and implement data-driven strategies. The position requires a creative problem-solver passionate about delivering impactful insights using leading industry tools.
Key Responsibilities:
  • Design, implement, and analyze experiments.
  • Develop and automate data analysis pipelines.
  • Translate complex findings for diverse audiences.
  • Build dashboards and visualizations for stakeholders.
  • Apply advanced statistical methodologies to business problems.

Must-Have Skills:
  • Proficiency in SQL and Python for data manipulation and analysis.
  • Experience designing and interpreting A/B tests.
  • Skill in data visualization tools like Tableau.

Experience in a SaaS product analytics environment is preferred to understand the nuances of user behavior and business growth in a software-as-a-service context.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001