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Freelance Data Science Manager Jobs in California

Job Location - Burbank, CA Type - Contract (3 months) Pay Rate - $67.31 Per Hour (W2 Only) What We Do/Project Seeking a hands-on data scientist to fill the Manager of Data Science position within our ...

As part of theData Science and Engineering team, this role combines strategic leadership, technicalexpertise, and people management to deliver innovative data solutions while ensuring robust ...

Manager of Data Science

Burbank, CA · On-site

$135 - $150/hr

Job Location - Burbank, CA Type - Contract (3 months) Pay Rate - $67.31 Per Hour (W2 Only) What We Do/ProjectSeeking a hands‑on data scientist to fill the Manager of Data Science position within ...

The role The Data Science team is seeking a Senior Manager who will help support growth in our SIPS businesses by improving SoFi's ability to execute with data. This is an exciting role for someone ...

Data Science

San Francisco, CA · On-site

$90 - $120/hr

... Management Consulting firm which was initially established in Paris, France in 1999 and has grown ... Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our ...

Director, Data Science

San Francisco, CA · On-site

$290K - $376K/yr

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 ...

As a Senior Manager Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

This position maintains lots of exposure to cross functional organizations and access to senior management. What you'll do A Finance Data Scientist within Adobe's Creativity & Productivity FP&A ...

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... management skills with an ability to set and achieve goals, meet deadlines and act with a strong ...

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... management skills with an ability to set and achieve goals, meet deadlines and act with a strong ...

Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement * Champion data ...

The data science team is very much applied - their work directly makes its way into real products ... You are expected to also be hands on, not just a manger, and be directly responsible for some ...

... data science solutions that inform product strategy, enhance performance, and support innovation for internal Visa business teams. The Senior Manager will act as an internal data consultant to ...

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

Showing results 41-60

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 are popular job titles related to Freelance Data Science Manager jobs in California?

For Freelance Data Science Manager jobs in California, the most frequently searched job titles are:

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:

Senior Staff Data Science Manager, Ads Metrics

Google

Mountain View, CA • On-site

Full-time

Posted 24 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies


Job description

Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

Preferred qualifications:
  • 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
  • Experience in team management.

About the job
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
  • Apply data analysis, machine learning, and AI algorithms to develop models and drive thinking.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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