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Data Science Rotational Program Jobs in California

Data Science Lead

Milpitas, CA · On-site +1

$148K - $168K/yr

Data Science Lead Job Code: A011.4794 Job Location: Milpitas, CA Job Type: Full-Time Rate of Pay ... This position is eligible to participate in the Company's long-term incentive program. Subject to ...

Data Science Lead

Milpitas, CA · On-site

$148K - $168K/yr

Data Science Lead Job Code: A011.4794 Job Location: Milpitas, CA Job Type: Full-Time Rate of Pay ... This position is eligible to participate in the Company's long-term incentive program. Subject to ...

Responsibilities About The TikTok Monetization Product Data Science Team We're the TikTok ... The Company reserves the right to modify or change these benefits programs at any time, with or ...

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Experience designing efficient data science workflows and database architecture. * Experience with forecasting, Bayesian networks, and graph analytics. * Knowledge of program management theories ...

Showing results 41-60

Data Science Rotational Program information

What kinds of projects and experiences can I expect during a data science rotational program?

During a Data Science Rotational Program, you’ll work on a wide variety of projects such as predictive modeling, data visualization, natural language processing, and business analytics across multiple departments. You’ll have the chance to collaborate with cross-functional teams, including engineering, product development, and business strategy, to solve real-world problems using data-driven insights. Typically, each rotation lasts a few months and provides practical exposure to different tools, datasets, and methodologies, helping you build a diverse portfolio of experience. This structure not only broadens your technical expertise but also gives you valuable networking opportunities and a clearer perspective on potential career paths within data science.

What are the key skills and qualifications needed to thrive in a data science rotational program, and why are they important?

To thrive in a Data Science Rotational Program, you typically need a strong background in statistics, programming (such as Python or R), and data analysis, along with a relevant degree in fields like computer science, mathematics, or engineering. Familiarity with data visualization tools (e.g., Tableau, Power BI), machine learning libraries, and experience with SQL databases are important technical assets for the role. Exceptional problem-solving abilities, curiosity, adaptability, and effective communication skills help you collaborate and learn across different teams and projects. These competencies enable you to quickly adapt, contribute meaningfully, and build a well-rounded data science skill set throughout the rotations.

What is a data science rotational program?

A Data Science Rotational Program is a structured, multi-phase role designed to give participants hands-on experience across different teams within a company. Participants rotate through various data science functions, such as machine learning, analytics, and data engineering, gaining exposure to diverse projects and tools. This program helps develop technical skills, business acumen, and a broad understanding of how data science impacts different areas of the organization. It is ideal for early-career professionals or recent graduates looking to explore different career paths in data science before specializing.

What are the most commonly searched types of Data Science Rotational Program jobs in California? The most popular types of Data Science Rotational Program jobs in California are:
What are popular job titles related to Data Science Rotational Program jobs in California? For Data Science Rotational Program jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Rotational Program jobs in California look for? The top searched job categories for Data Science Rotational Program jobs in California are:
Infographic showing various Data Science Rotational Program job openings in California as of August 2026, with employment types broken down into 67% Full Time, 13% Part Time, and 20% Contract. Highlights an 100% In-person job distribution.

Senior Data Scientist, GTM Data Science

Adobe, Inc.

San Jose, CA • On-site

Full-time

Re-posted 19 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 243 rated software companies


Job description

The Opportunity
We are looking for an experienced Data Scientist to join Adobe's Go-To-Market (GTM) Data Science & Analytics team. In this role, you will help build growth strategy for Adobe's Adobe.com B2C business. You will apply data science to key moments across the entire customer journey, from acquisition and conversion to engagement, monetization, and retention.
You will partner closely with teams across GTM Strategy, Product, Marketing, and Finance to identify growth opportunities, explain performance shifts, improve decision-making, and influence strategy through data. This is a high-impact role for someone who enjoys solving ambiguous business problems, connecting data to action, and working directly with cross-functional leaders.
What you'll do
  • Analyze customer behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn.
  • Use exploratory data analysis to uncover hidden patterns throughout the customer lifecycle. You'll investigate anomalies in the funnel, identifying whether shifts are driven by market trends, product changes, or technical friction.
  • Drive Run-the-Business (RTB) by analyzing weekly performance across the GTM funnel to understand drivers of acquisition and retention.
  • Communicate insights clearly to senior leaders, turning complex analysis into simple, decision-ready narratives
  • Elevate the team's technical bar by contributing to shared code libraries, peer-reviewing complex analyses, and partnering with Data Engineering to optimize our data architecture for high-velocity analytics.

What You Need to Succeed
  • 5+ years of experience in data science, analytics, experimentation, or applied statistics, ideally in a B2C SaaS, subscription, e-commerce, or digital product environment.
  • Strong SQL and Python skills, with experience working with large-scale datasets in modern data environments such as Databricks, Spark, or similar platforms.
  • Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.
  • Experience using data to solve business problems in partnership with non-technical partners.
  • Ability to work independently in ambiguous environments, prioritize effectively, and drive projects from problem definition through recommendation.
  • Experience with visualization tools such as Tableau or Power BI.
  • MS in a quantitative field (Statistics, Computer Science, Economics, Mathematics, or related) or equivalent experience.

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 - $236,400
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

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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