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

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 ...

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 ...

This role will focus on building advanced analytics solutions utilizing data science, AI and ML ... Proficiency with programming and data analysis using Python, Spark, and ML frameworks (NumPy ...

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

Data Scientist

Manhattan Beach, CA · On-site

$93K - $130K/yr

This role will focus on building advanced analytics solutions utilizing data science, AI and ML ... Proficiency with programming and data analysis using Python, Spark, and ML frameworks (NumPy ...

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

The Apple Media Products Data Science & Analytics organization is passionate about developing ... like Python and SQL.4 years experience employing statistical methods to tackle business problems ...

Strong proficiency in SQL and Python, with deep expertise in the data science ecosystem (e.g., PyTorch, Transformers, scikit-learn, XGBoost/LightGBM, scipy, statsmodels). * Forecasting & Optimization:

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of ... Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn ...

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of ... Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn ...

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Python Data Science information

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How much do python data science jobs pay per hour?

As of May 29, 2026, the average hourly pay for python data science in Los Angeles, CA is $61.83, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $70.24 per hour, depending on experience, location, and employer.

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 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 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 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 May 2026, with employment types broken down into 94% Full Time, 1% Part Time, 1% Temporary, and 4% Contract. Highlights an 40% Physical, and 60% Remote job distribution, with an average salary of $128,611 per year, or $61.8 per hour.
Data Scientist II

Data Scientist II

Fabletics

El Segundo, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Fabletics rating

6.9

Company rating: 6.9 out of 10

Based on 24 frontline employees who took The Breakroom Quiz


Job description

Job Description
Fabletics is looking for a Data Scientist to join our Marketing Science & Analytics team.
How do you fit in?
As a Data Scientist at Fabletics, you will play a key role in developing insights that empower our internal teams to scale marketing spend effectively through rigorous media measurement, from ad exposure to conversion. 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 larger projects involving Databricks and Airflow for scale and automation. Flexibility in choosing the best tools for your role is encouraged, reflecting our commitment to ongoing education and exploration of new technologies and modeling methods.
Ideal Candidate:
We seek a detail-oriented, solutions-focused Data Scientist with a deep understanding of the media measurement landscape and experience evaluating marketing effectiveness at scale from within a measurement vendor, media agency, or in-house marketing science team. You bring expertise in Bayesian modeling and a strong statistical foundation, approaching ambiguous problems with structure. When faced with an unknown, you don't stop at the question; you identify what you need to find out, articulate a clear path forward, and communicate your reasoning at every step. You take ownership of your projects end-to-end, proactively driving progress and keeping stakeholders informed without being asked. A natural collaborator and clear communicator, you are equally comfortable presenting your methodology to technical peers and explaining your findings to non-technical partners.
What you will be doing:
  • Incrementality Testing:
    • Design and execute rigorous incrementality and lift tests (including geo experiments, holdout tests, and A/B tests) to measure the true causal impact of marketing interventions
    • Apply Bayesian modeling and causal inference methods to analyze test results, quantify uncertainty, and produce actionable recommendations for marketing spend optimization
    • Own the end-to-end testing process, from proactively structuring experiment designs and clearly defining hypotheses and expected business impact, through execution, analysis, and stakeholder communication of results

  • Media Mix Modeling & Attribution:
    • Develop and maintain advanced media mix models and attribution systems to assess the impact of digital marketing channels and track touchpoints throughout the customer journey
    • Collaborate with cross-functional teams to align models with business goals and ensure comprehensive, accurate data inputs

  • Bayesian Modeling:
    • Design, develop, and maintain Bayesian statistical models as the primary analytical approach across marketing science projects, with a focus on quantifying uncertainty and informing decision-making
    • Apply probabilistic programming tools (PyMC preferred) to build and iterate on models; clearly document methodology, assumptions, and outputs for both technical and non-technical audiences
    • Regularly validate and refine models to ensure accuracy; proactively identify opportunities for optimization and propose data-driven solutions to enhance performance

  • Data Analysis and Visualization:
    • Utilize statistical and machine learning techniques to derive insights from large datasets
    • Translate findings into clear, compelling outputs (including dashboards, reports, and stakeholder presentations) and effectively communicate results to both technical and non-technical audiences across marketing, analytics, and technology teams

  • Collaboration and Communication:
    • Work closely with marketing, analytics, and technology teams to understand data requirements for both marketing and personalization initiatives
    • Clearly communicate complex findings and algorithmic recommendations to non-technical stakeholders

What you can bring:
  • 2-4 years of work experience as a Data Scientist
  • Fluent in R or Python (Python preferred), SQL, and Git
  • Proven experience in media mix modeling, media attribution, and incrementality testing, ideally gained within a measurement vendor, media agency, or sophisticated in-house marketing science function, with familiarity in how measurement solutions are scoped, delivered, and communicated to stakeholders
  • Hands-on experience designing and analyzing marketing experiments, including A/B tests, lift tests, and geo experiments; strong command of causal inference methods for interpreting results in real-world, non-ideal conditions
  • Strong foundation in statistical modeling, with hands-on experience in Bayesian methods and probabilistic programming (PyMC or equivalent)
  • The ability to understand and implement publications in the fields of Data Science/Machine Learning as applied to marketing
  • Strong communication skills with the ability to clearly articulate complex topics, project status, methodology, and next steps to both technical and non-technical audiences, including a structured approach to diagnosing and resolving blockers independently
  • Ideal candidate brings foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation.

Preferred Qualifications:
  • Advanced degree in Statistics, Computer Science, Econometrics, or related fields
  • Experience designing geo experiments or market-level tests for measuring marketing effectiveness at scale
  • Experience with data visualization tools such as Tableau
  • Familiarity with marketing tech stack and digital data technologies (Google Analytics, pixel tracking, etc.)
  • Experience in e-commerce, subscription models, and/or direct-to-consumer brands

Where we are:
  • This role will be based in our El Segundo Headquarters

Compensation & Total Rewards:
At Fabletics, we believe work and life should fit together! We continue to build a culture of flexibility, to empower you to do your best and put yourself first. Our Total Rewards program rewards employees for their hard work, supporting their health, well-being, families, and ultimately their life journey. Total Rewards at Fabletics includes:
-Hybrid Work Schedule*
-Discretionary Paid Time Off*
-Summer Fridays*
-Healthcare Plans
-Employee Discounts
-401k
-Annual Bonus Program
-Equity Program*
-And More
*Varied for retail, fulfillment and fully remote roles.
The annual base salary range for this position is from $110,000-$125,000. The range provided includes the base salary that Fabletics expects to pay for the role. Offered base salary will be dependent on factors including the scope and complexity of the role, candidate's related work experience, subject matter expertise and work location.
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Security Alert: Protect yourself from scams
At Fabletics, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Fabletics emphasizes legitimate recruitment practices. Initial communication is primarily via official email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Teams or Zoom-never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
Fabletics, Inc. is an equal opportunity employer. We recruit, employ, compensate, develop, and promote regardless of race, national origin, religion, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, and other protected status as required by applicable. At Fabletics, Inc., we champion a vibrant workplace culture that thrives on diversity law and do not tolerate discrimination or harassment. We are one team from many backgrounds, innovating through diversity of individuals, who are driven by passion for creating an inclusive space for all. Fabletics, Inc. will continue to champion a workplace culture that prizes diversity and inclusivity.
We encourage you to apply regardless of meeting all qualifications and/or requirements.

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