Data Science Engineer Jobs at Adobe with Visa Sponsorship
Data Science Engineer jobs at Adobe sit at the intersection of machine learning infrastructure, product analytics, and large-scale experimentation across Creative Cloud, Document Cloud, and Experience Cloud. Adobe has a consistent track record of sponsoring international talent for this function across multiple visa categories, making it a realistic target for skilled engineers navigating U.S. work authorization.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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
BASIC QUALIFICATIONS
- Strong proficiency in SQL and Python; R is a plus
- Experience in data cloud platform (e.g. 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.
COMPENSATION
- 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
In 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.
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.
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.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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
BASIC QUALIFICATIONS
- Strong proficiency in SQL and Python; R is a plus
- Experience in data cloud platform (e.g. 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.
COMPENSATION
- 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
In 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.
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.
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.
See all Data Science Engineer Jobs at Adobe
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer Jobs at Adobe.
Get Access To All JobsTips for Finding Data Science Engineer Jobs at Adobe
Align your portfolio to Adobe's AI stack
Adobe's Data Science Engineers work extensively with GenAI tooling, Firefly model infrastructure, and real-time personalization pipelines. Before applying, document projects involving large language models, recommendation systems, or A/B experimentation frameworks that mirror those product surfaces.
Verify your specialty occupation credentials early
USCIS requires a direct connection between your degree field and the Data Science Engineer role. If your degree is in a adjacent discipline like statistics or physics, gather course transcripts and a credential evaluation before you receive an offer, not after.
Target Adobe's product-aligned engineering teams
Adobe posts Data Science Engineer roles under distinct product umbrellas. Roles tied to Adobe Sensei, GenStudio, or Adobe Analytics have distinct technical scopes. Applying to the team whose product output matches your domain increases the likelihood your petition clearly satisfies specialty occupation criteria.
Find open Data Science Engineer roles on Migrate Mate
Search Migrate Mate to filter Adobe's current Data Science Engineer openings by visa type. This lets you confirm which roles are actively sponsoring and match your authorization category before investing time in the application process.
Understand Adobe's LCA filing timeline relative to your status
Your employer must file a certified Labor Condition Application with DOL before your H-1B petition reaches USCIS. If you're on OPT with less than 90 days remaining, confirm Adobe's internal legal team can complete LCA certification and submit before your work authorization gap triggers.
Prepare for technical rounds that double as qualification evidence
Adobe's Data Science Engineer interviews typically include system design rounds covering ML pipelines and model serving. Your performance documentation, including take-home assessments or case study outputs, can support the employer's RFE response if USCIS questions your specialized expertise.
Frequently Asked Questions
Does Adobe sponsor H-1B visas for Data Science Engineers?
Yes, Adobe sponsors H-1B visas for Data Science Engineers. The company participates in the annual H-1B lottery, which opens each March for an October 1 start date. Because selection is not guaranteed, Adobe also sponsors E-3 visas for Australian citizens, TN visa status for Canadian and Mexican nationals, and supports F-1 OPT extensions, giving international candidates multiple pathways into the same roles.
Which visa types does Adobe commonly use for Data Science Engineer roles?
Adobe files across several nonimmigrant categories for this role: H-1B for most international hires, E-3 for Australian citizens, and TN for Canadian and Mexican nationals in qualifying technical occupations. F-1 OPT and CPT are supported for students, and J-1 visa is available for certain exchange programs. For permanent residence, Adobe sponsors through EB-2 and EB-3 PERM-based pathways.
What qualifications and experience does Adobe expect for Data Science Engineer positions?
Adobe's Data Science Engineer roles typically require a graduate degree in computer science, statistics, machine learning, or a related quantitative field, along with hands-on experience building and deploying production ML systems. Familiarity with experimentation platforms, model serving infrastructure, and large-scale data pipelines is common across postings. Roles tied to Adobe Sensei or GenAI products may require specific experience with generative model architectures.
How do I apply for Data Science Engineer jobs at Adobe?
Search for open Data Science Engineer roles through Migrate Mate, which filters Adobe's current postings by visa sponsorship type so you can confirm eligibility before applying. Once you identify a match, apply through Adobe's careers portal and tailor your resume to the specific product team. Adobe's recruiting process includes recruiter screens, technical assessments covering ML system design, and domain-specific interviews aligned to the team's product area.
How do I plan my timeline if I need H-1B sponsorship to work at Adobe?
The H-1B cap-subject lottery opens each March, with an October 1 start date if selected. If you're finishing a degree or on OPT, confirm your work authorization covers the gap between your start date and October 1. If you're not selected in the lottery, discuss cap-exempt alternatives or E-3 and TN eligibility with Adobe's immigration team immediately, since waiting for the next lottery cycle costs a full year.