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

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Advanced programming skills in Python, R, and SQL for model development and data processing.

Heluna Health

Data Scientist Supervisor

Alhambra, CA

$9.8K - $13K/mo

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Advanced programming skills in Python, R, and SQL for model development and data processing.

Merican

Specialist II - Data Science

Los Angeles, CA · On-site

Specialist II - Data Science Location:Woodland Hills, CA Duration:10 Months Job Type: Temporary ... Python, Java, Go. Proficiency in deploying solutions on Azure Cloud. * Experience with databases ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... science, applied analytics, or a related quantitative field (industry, academia, or both) * 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data * 2+ years of ...

Merican

Specialist II - Data Science

Los Angeles, CA · On-site

Strong programming skills (Python preferred) * Experience with Databricks and Apache Spark * Solid ... Computer Science / Data Science / AI / related field * Proven experience building production-grade ...

AgileEngine

Data Scientist ID71658

Downey, CA · On-site +1

MUST HAVES - 6+ years of commercial data science experience, operating completely autonomously with no required supervision; - Advanced proficiency in Python , R , and SQL ; - Experience with machine ...

JF Retail Services

Data Scientist II

El Segundo, CA · On-site

You will collaborate closely with Data Analytics, Media, and a diverse Data Science team with various expertise and focuses. Tools and Technologies: Expect to leverage Python and SQL daily, with ...

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

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 ...

Amgen

Data Scientist

Thousand Oaks, CA · On-site

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 ...

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All JobsPython Data Science JobsPython Data Science Jobs in Los Angeles, CA

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:
Python Data Science jobs near you
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.

Director / Senior Manager, Data Science

Athena LLC

Los Angeles, CA • On-site, Remote

Full-time

Posted 22 days ago

Job description

About Athena
At Athena, we empower possibility through transformative delegation. True leaders know where they want to go-and we help them get there. By pairing exceptional Executive Assistants with driven client members, and continuously enhancing that partnership through Human + AI innovation, we help our members achieve 10x more leverage, time, and impact.
We are on a mission to build the world's most advanced delegation platform-leveraging AI and human collaboration to redefine how complex work gets done.
Role Overview
We are seeking a Director / Senior Manager of Data Science to lead Athena's data strategy and enable data-driven decision-making across the organization. This leader will define our data vision, align initiatives with business goals, and manage a team of data scientists and analytics engineers to deliver business analysis and innovative AI/ML solutions that drive measurable impact.
You will set the strategic direction for data and AI, oversee project execution from ideation to deployment, and collaborate with senior leadership to embed data-centric thinking across the company. This role requires a blend of strategic foresight, hands-on technical expertise, and exceptional leadership.
Key Responsibilities
Strategic Leadership
  • Develop and execute an enterprise-wide data strategy aligned with business objectives.
  • Define key performance metrics to measure the impact of data initiatives.

Team Leadership & Development
  • Lead and mentor a team of data scientists and analytics engineers, fostering innovation, growth, and cross-functional collaboration.
  • Build a high-performance, diverse, and agile data organization.

Project Oversight
  • Manage the full lifecycle of data science projects-from research and model development to production deployment.
  • Ensure consistent quality, scalability, and integration of solutions into business processes.

Technical Expertise
  • Provide thought leadership in advanced analytics, statistical modeling, and machine learning.
  • Guide the design and implementation of ML models, AI systems, and data-driven applications.

Business Partnership
  • Partner with C-level executives and business leaders to identify high-impact opportunities for AI and analytics.
  • Translate complex data insights into actionable business recommendations and measurable outcomes.

Innovation & Best Practices
  • Stay current with emerging technologies in ML, GenAI, and data engineering.
  • Champion best practices in data governance, quality, and ethical AI.
  • Cultivate a data-driven culture and promote evidence-based decision-making throughout the organization.

Qualifications
Leadership & Vision
  • Proven success leading high-performing data science teams and setting strategic direction in fast-paced environments.

Technical Proficiency
  • Expertise in Python and open-source data science tools (e.g., Jupyter, R, SQL, Hadoop, Spark, TensorFlow, Keras, PyTorch, Scikit-learn).
  • Ability to evaluate and apply cutting-edge ML/AI techniques to real-world business problems.

Business Acumen
  • Strong understanding of business analytics supporting business stakeholders making decisions.
  • Proven ability to translate complex analytical insights into tangible business impact.

Communication & Influence
  • Exceptional ability to present technical and strategic insights clearly to both technical and executive audiences.

Education & Experience
  • Bachelor, Master or Ph.D. in a quantitative discipline (Data Science, Computer Science, Statistics, or related field).
  • Extensive experience leading data science initiatives, with a track record of delivering measurable business outcomes.

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