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Python Data Science Jobs in Los Angeles, CA (NOW HIRING)

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 ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

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 ...

Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch ... Established product data science roadmap aligned with business priorities; shipped at least one ...

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Ability to write, review, and optimize Python and SQL code * Deep understanding of Large Language ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn * Proven experience with one or more deep learning frameworks such as TensorFlow or PyTorch * Handson experience with a ...

Own the data science and applied AI roadmap for operations-agentic systems, forecasting, lead ... Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM ...

Data Science Engineering

Pasadena, CA · On-site

$40.50 - $64/hr

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 ...

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data ... Solid foundation in Python and familiarity with core data libraries (e.g., pandas, NumPy, scikit ...

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Python Data Science information

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How much do python data science jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for python data science in Los Angeles, CA is $61.76, according to ZipRecruiter salary data. Most workers in this role earn between $50.91 and $70.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a data scientist do with Python?

A data scientist uses Python to analyze and interpret large datasets, develop machine learning models, and create data visualizations. They utilize libraries like pandas, scikit-learn, and matplotlib to extract insights and support data-driven decision-making.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and programming. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to command higher salaries.
What are the most commonly searched types of Python Data Science jobs in Los Angeles, CA? The most popular types of Python Data Science jobs in Los Angeles, CA are:
What are popular job titles related to Python Data Science jobs in Los Angeles, CA? For Python Data Science jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Los Angeles, CA look for? The top searched job categories for Python Data Science jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Python Data Science jobs? Cities near Los Angeles, CA with the most Python Data Science job openings:
Infographic showing various Python Data Science job openings in Los Angeles, CA as of June 2026, with employment types broken down into 3% As Needed, 53% Full Time, 40% Part Time, 2% Contract, and 2% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,453 per year, or $61.8 per hour.
Senior Data Scientist

Senior Data Scientist

Staffingine LLC

Los Angeles, CA • On-site

Contractor

Posted 18 hours 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