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Entry Level Python Data Science Jobs in Santa Barbara, CA

Requirements Candidates should have a strong background in engineering, computer science, physics ... Experience with software development using the Python and/or C++ computer languages and experience ...

Requirements Candidates should have a strong background in engineering, computer science, physics ... Experience with software development using the Python and/or C++ computer languages and experience ...

... Python or C++ languages in support of Artificial Intelligence (AI) / Machine Learning (ML ... data processing or control problems. Requirements Candidates for the AI/ML Software Engineer ...

Under the supervision of the Detector Yield and Data Engineering Manager, collects, tracks and ... Programming skills in: Python, Matlab, R, JMP, or similar * SQL database query experience

Yield Engineer

Goleta, CA

$113K - $151K/yr

Analyze electrical test data and defect density trends using JMP, Python, MATLAB or similar * SQL ... S. in engineering or science, M. S. preferred * 2+ years experience as a Process, Manufacturing ...

Yield Engineer

Goleta, CA · On-site

$113K - $151K/yr

Analyze electrical test data and defect density trends using JMP, Python, MATLAB or similar * SQL ... S. in engineering or science, M. S. preferred * 2+ years experience as a Process, Manufacturing ...

You will join a team of dedicated engineers and scientists who are pushing the boundaries of ... Experience with MATLAB, Python, or LabView for data analysis or test automation * Prior internship ...

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Entry Level Python Data Science information

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

As of Jun 23, 2026, the average hourly pay for entry level python data science in Santa Barbara, CA is $65.23, according to ZipRecruiter salary data. Most workers in this role earn between $53.75 and $74.09 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 Santa Barbara, CA? The most popular types of Python Data Science jobs in Santa Barbara, CA are:
What job categories do people searching Entry Level Python Data Science jobs in Santa Barbara, CA look for? The top searched job categories for Entry Level Python Data Science jobs in Santa Barbara, CA are:
What cities near Santa Barbara, CA are hiring for Entry Level Python Data Science jobs? Cities near Santa Barbara, CA with the most Entry Level Python Data Science job openings:
Infographic showing various Entry Level Python Data Science job openings in Santa Barbara, CA as of June 2026, with employment types broken down into 78% Full Time, 14% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $135,672 per year, or $65.2 per hour.
Environmental and Resource Economics Postdoctoral Scholar (up to 3 positions), Environmental Markets

Environmental and Resource Economics Postdoctoral Scholar (up to 3 positions), Environmental Markets

University of California Santa Barbara

Santa Barbara, CA • On-site

Other

Medical, Dental, Vision, Retirement

Posted 20 days ago


University Of California Santa Barbara rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

176th of 539 rated colleges and universities


Job description

Position description
The Environmental Markets Lab (emLab), in collaboration with the Environmental Defense Fund (EDF), is seeking up to 3 postdoctoral researchers to lead in the development and execution of applied research projects in environmental and resource economics. emLab and EDF are pursuing joint projects to bolster cost-effective climate solutions. With a focus on strengthening compliance markets and designing credible nature-based solutions, our portfolio aims to identify new frameworks, incentives, and institutional design principles to enhance the design of carbon markets. The successful candidate will contribute to this portfolio with research focused on natural resource management, nature-based climate solutions, or carbon pricing.
The Environmental Markets Lab is a team of scientists based at UC Santa Barbara that advances economic research to deliver practical solutions for people and the planet. In collaboration with implementing partners, we design, test, and implement scalable solutions that work across boundaries-connecting science with policy, data with decisions, and ambition with action-to create pathways toward a future where environmental and human wellbeing mutually reinforce one another. We endeavor to foster an inclusive, collaborative work environment to bring interdisciplinary expertise to solve critical environmental problems. The Environmental Defense Fund is a global science, economics, and advocacy organization working to stabilize the climate, strengthen the ability for people and nature to thrive, and protect people's health. Originally founded in the U.S. in 1967, EDF started by bringing lawsuits to ban the use of the pesticide DDT in New York. Over its 50+ year history, EDF has worked with partners to introduce science and market-based solutions to solve environmental, health, business, and climate problem including California's cap and trade, now cap and invest program, the U.S. Acid Rain Program, catch share fisheries programs that restored U.S. fish populations, and putting methane warming and action on the map with seminal research, policy gains, and finally launching its own measurement satellite (MethaneSAT). EDF has a staff of over 1,000 and works primarily in the U.S., the EU, India, and China.
The candidate will have the opportunity to work with Christopher Costello, the emLab Research Director and EDF Chief Economist. The successful candidate(s) will work with emLab and EDF, and can also allocate a fraction of their time to their own research.
This appointment includes a competitive benefits package with medical, dental and vision insurance and a UC retirement plan. Salary is commensurate with the applicant's qualifications and experience.
Department: https://msi.ucsb.edu/
Qualifications
Basic qualifications (required at time of application)
Applicant must have a PhD degree (or equivalent) or be enrolled in a PhD program in economics with a focus in environmental and resource economics, or a closely related discipline, at the time of application.
Additional qualifications (required at time of start)
PhD in economics with a focus in environmental and resource economics, or a closely related field, at the time of appointment.
Preferred qualifications
The ideal candidate(s) should have training in economic theory, econometrics, and/or other quantitative research tools, an interest and track record in publishing in top science and/or economics journals, and the ability to translate research into actionable policy recommendations.
• A minimum of 3 years of academic or applied research experience in econometric methods and/or economic theory related to natural resource management, nature-based solutions, or carbon pricing;
• Excellent quantitative and modeling skills including advanced coding in R, Stata, Python, and/or Matlab;
• An interest and track record in publishing in top academic journals;
• Proficiency using GitHub and other modern data management, sharing, and presentation interfaces;
• Proficiency with LaTeX;
• Ability to balance a diverse portfolio of responsibilities simultaneously;
• Excellent communication skills to contribute to reports and peer-reviewed scientific publications, deliver presentations, and translate scientific concepts for diverse audiences;
• Strong interpersonal skills to build and maintain strong relationships with academic, NGO, and government partners, and to work effectively as part of a highly collaborative research team.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Writing Sample - Submit paper or other writing sample

Reference requirements
  • 3 required (contact information only)

The search committee will contact references of the top candidate(s) after the interviews. After references are checked, a top candidate will be chosen.
Apply link: https://recruit.ap.ucsb.edu/JPF03036
Help contact: lswanson@ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "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 or discrimination as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, students and third parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Additionally, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
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.
Job location
Santa Barbara, CA UCSB