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Freelance Data Science Manager Jobs in California

... manage high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space 3. Build and prototype analysis pipelines for the team ...

In this hybrid role you will report to a Data Science Manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...

As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design ...

In this hybrid role you will report to a data science manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

Data Scientist

Mountain View, CA · On-site

$170K - $216K/yr

In this hybrid role you will report to a Data Science Manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

Manager Data Science

San Diego, CA · On-site

$142 - $236/hr

You will lead and manage global, data scientists and engineers, ensuring high-quality, reliable access to data. * You will oversee the design, development, validation, and deployment of machine ...

Managing and growing a team of data scientists focused on modeling key business problems. * Mentoring and guiding team members as they build out quantitative models in python using industry-standard ...

Senior Data Scientist

Mountain View, CA · On-site

$204K - $259K/yr

In this hybrid role you will report to a data science manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

Showing results 21-40

Freelance Data Science Manager information

What is the difference between Freelance Data Science Manager vs Freelance Data Analyst?

AspectFreelance Data Science ManagerFreelance Data Analyst
CredentialsTypically requires advanced degrees in data science, statistics, or related fields; experience in managing data projectsOften requires a bachelor's degree in data analysis, statistics, or related areas; strong analytical skills
Work EnvironmentLeads data teams, manages projects, and collaborates with stakeholdersPerforms data cleaning, analysis, and reporting tasks independently or in small teams
Industry UsageUsed across industries for overseeing data science initiativesCommonly employed for data reporting, visualization, and insights generation

The main difference is that a Freelance Data Science Manager oversees data projects and manages teams, requiring leadership skills and advanced knowledge, while a Freelance Data Analyst focuses on analyzing data and generating reports. Both roles are essential but serve different functions within data-driven organizations.

Can I do freelancing with data science?

A freelance data science manager can work independently on projects such as data analysis, modeling, and consulting for clients. Successful freelancing in data science typically requires strong skills in programming, statistical analysis, and tools like Python or R, along with effective communication and project management abilities.

What job categories do people searching Freelance Data Science Manager jobs in California look for?

The top searched job categories for Freelance Data Science Manager jobs in California are:

What cities in California are hiring for Freelance Data Science Manager jobs?

Cities in California with the most Freelance Data Science Manager job openings:

Data Science Manager - Engineering

Netflix

Los Gatos, CA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 3 days ago


Key responsibilities

  • Partner with engineering teams to optimize the Netflix streaming product through analytics, experimentation, and machine learning.

  • Lead and hire a diverse team of experts in analytics, experimentation, and machine learning, fostering an inclusive team culture.

  • Identify opportunities and execute on science and analytics challenges to deliver high-impact insights and solutions.


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 rated media


Job description

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
Netflix is a technical powerhouse, with infrastructure that powers a high performance, high reliability and high scale entertainment service. Our members want a seamless, immersive Netflix experience, and we deliver it with an intricate set of systems working together behind the scenes. Video and audio must be encoded into different formats and resolutions, distributed across our internally build content delivery network, then adaptively streamed by the wide range of devices our members use to watch the content they love. We have to do this all in cost effectively, securely, and nimbly. Our data team takes a holistic approach to measuring and improving these systems and their impact on Netflix members as well as internal engineering teams. As we add new business areas like games, live content, and ads into the Netflix product, we're asking new questions about how our technology should work and how to best serve our members.
What you'll do
We're looking for an accomplished data science and analytics leader to lead a diverse team of talented, senior individual contributors who are experts in the fields of analytics, experimentation, and machine learning. You'll primarily partner with software engineering teams to optimize the Netflix streaming product with an eye toward scaling analytics, access to insights, innovating on methodologies, and finding new opportunities to apply high-impact science and analytics to Netflix challenges.
You have
  • Experience hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics, experimentation and machine learning
  • Experience creating and fostering an inclusive team culture
  • Experience partnering with technical engineering or product teams
  • Demonstrated strength for applying statistics and experimentation to solve problems
  • Strength in independently finding opportunities and executing on science and analytics challenges for maximum business impact

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000 - $920,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Netflix logo

About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997