1

Freelance Data Science Manager Jobs in California

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 ...

Ph.D. in CS, Data Science, Engineering, AI/ML, or related field-or equivalent experience. * 10+ years in engineering and research leadership, managing full lifecycle of ML models from research to ...

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 ...

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 ...

As a Manager for Applied Science at Adobe, you will develop novel data-centric solutions that advance creativity through features in Adobe's products, reaching millions of people worldwide.

... 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 ...

... management, revenue forecasting, and customer analytics. The Director will develop and maintain ... Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations ...

... 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 ...

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... managing the cutover process to ensure a smooth transition to the new system. The conversion is ...

... 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 ...

Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers Minimum Qualifications: * Bachelor's degree in ...

The role leverages data science methodologies and machine learning to deliver actionable solutions across diverse business domains. People Leadership As a people manager, you are responsible for ...

The role leverages data science methodologies and machine learning to deliver actionable solutions across diverse business domains. People Leadership As a people manager, you are responsible for ...

Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers Minimum Qualifications: * Bachelor's degree in ...

Data science engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a talented Data Science Engineer to join their team. The role ... manage multiple priorities effectively. • Experience deploying machine-learning models in ...

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 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 Engineer

Adobe, Inc.

San Jose, CA • On-site

Full-time

Re-posted 17 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 247 rated software companies


Job description

The Challenge
In Adobe finance, we strive to introduce the finance of the future! We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ground-breaking, predictive techniques for forecasting customer retention metrics, units, and ARR. This role is fitting for an individual who enjoys working with, cleaning and manipulating large datasets, and can derive insights using statistical and machine learning models. 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 (Financial Planning and Analysis) team partners with finance and business stakeholders to understand, and then develop and enhance the existing or proposed forecasting process, optimizing and refining by leveraging automation and AI/ML techniques.
This role has the opportunity to present and showcase findings and improvements to senior leadership, which is unique for this type of role in finance organizations.
In our team, we're committed to delivering actionable insights in a manner that is accurate and efficient. This role represents an end-to-end data scientist involved in every facet of every project such as data cleaning, predictive modeling, and storytelling. The typical day involves the following activities:
  • Drive data science modeling initiatives for forecasting and analysis

  • Automate, enhance, and maintain analytic applications and data structures used for modeling and forecasting

  • Monitor weekly performance, understand the root causes of changes in metrics, and continually keep an eye on how to continuously "Create the Future" and further enhance forecast algorithms

  • Work with the PowerBI team to deliver requirements to create and maintain dashboards tracking key indicators

  • Partner with Finance and other teams to build data science models to solve a wide breadth of business challenges

  • Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities

  • Analyze data to identify or resolve operational problems to create processes to reverse engineer existing data flows and source-to-target mappings and work with data engineering teams to implement changes.

  • Prepare analytical reports to document financial models and data processes.

  • Demonstrate strong intellectual curiosity towards enhancing current methodologies and processes

  • Capture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts

  • Be a change agent, ensuring users adopt new and innovative technologies

What you need to succeed
  • Strong proficiency in SQL and Python; R is a plus.

  • Experience in data cloud platform (eg. Databricks, AWS, Snowflake)

  • Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis

  • Proficiency with data visualization tools (e.g. Power BI, Tableau)

  • Experience exploring large amounts of information, extracting insights, and achieving real-world results

  • Ability to dig-in, understand the data, and to use creative thinking and problem-solving skills are musts

  • History of deriving and communicating actionable insights from analysis projects to product and/or business leaders

  • Degree in a quantitative field like statistics, economics, applied math, operations research or engineering preferred, or related work experience

  • Knowledge of Microsoft Office, specifically Power Query, M/DAX is a plus

  • Understanding of Version Control frameworks such as GitHub is a plus

  • Knowledge of customer cancellation forecasting and cohort retention is a plus

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $163,200 - $236,400In Washington, the pay range for this position is $157,900 - $228,575
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What Adobe employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982