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Entry Level Python Data Science Jobs in Los Angeles, CA

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... The work is developing Python scripts for data extraction, transformation, and validation ...

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 ...

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 ...

Job Summary The data science engineer will work closely with the PI and his research group to ... Strong programming skills in Python and R * Background in algebraic geometry, computational algebra ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. Who should apply? Recent computer science/engineering ...

Collaborate effectively with internal clients to translate their needs into data science use cases ... Proficiency in Python, TensorFlow, PyTorch, and/or PySpark. Ability to translate business needs and ...

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Experience with Python, R, or related analytical programming languages. * Understanding of data ...

... Science, or related field * 1-3 years of experience in data analysis (preferred) * Strong knowledge of Excel, SQL, and data visualization tools (Tableau/Power BI) * Basic knowledge of Python or R ...

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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 Los Angeles, CA is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $71.73 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 job categories do people searching Entry Level Python Data Science jobs in Los Angeles, CA look for? The top searched job categories for Entry Level Python Data Science jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Entry Level Python Data Science jobs? Cities near Los Angeles, CA with the most Entry Level Python Data Science job openings:
Infographic showing various Entry Level Python Data Science job openings in Los Angeles, CA as of June 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $131,384 per year, or $63.2 per hour.
Senior Data Scientist

Senior Data Scientist

Staffingine LLC

Los Angeles, CA • On-site

Contractor

Posted 29 days ago


Job description

Job Title: Senior Data Scientist
Job Location: Los Angeles - California - USA
Job Type: Contract

Job Description:

  1. Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes
  2. Perform exploratory data analysis to identify patterns trends and opportunities for business improvement
  3. Collaborate with stakeholders to define key performance indicators and success metrics
  4. Optimize existing data science workflows and models for better performance and accuracy Document methodologies code and findings to ensure reproducibility and knowledge sharing
  5. Support the integration of data science solutions into production environments
  6. Drive continuous improvement initiatives by evaluating new tools and technologies relevant to Python and data science

Skills

Mandatory Skills : Python - Data Science