Senior Data Science Engineer Jobs at Adobe with Visa Sponsorship
Senior Data Science Engineer jobs at Adobe sit at the intersection of large-scale machine learning infrastructure and creative product intelligence. Adobe has a consistent track record of sponsoring work visas for technical roles at this level, making it a realistic target if you're building a U.S. career in data science.
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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 Senior Data Science Engineer Jobs at Adobe
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Data Science Engineer Jobs at Adobe.
Get Access To All JobsTips for Finding Senior Data Science Engineer Jobs at Adobe
Tailor your portfolio to Adobe's product ecosystem
Adobe hires Senior Data Science Engineers to work on products like Firefly, Sensei, and Experience Cloud. Frame your portfolio around recommendation systems, generative AI, or behavioral analytics to align with the applied ML work these teams actually do.
Verify your degree qualifies as a specialty occupation
USCIS requires H-1B roles to qualify as specialty occupations. For Senior Data Science Engineer positions, a bachelor's degree or higher in computer science, statistics, or a directly related field is the clearest path. A general or unrelated degree will create friction in the petition.
Target Adobe's teams hiring across multiple visa types
Adobe sponsors H-1B, E-3, TN, and F-1 OPT for Senior Data Science Engineer roles, which means your visa category shouldn't disqualify you before the conversation starts. Filter specifically for senior-level data science openings to avoid roles that may not clear USCIS's experience threshold.
Use Migrate Mate to find open Senior Data Science Engineer roles
Adobe posts Senior Data Science Engineer openings across multiple teams and locations. Use Migrate Mate to browse current listings filtered by visa type so you're only applying to roles where sponsorship is confirmed, not assumed.
Align your start date with H-1B cap timing if you're on OPT
If you're on F-1 OPT, Adobe can file your H-1B in April for an October 1 start. Apply at least four to six months before your OPT expiry so there's time to secure STEM OPT extension as a fallback if the lottery doesn't select you.
Prepare for Adobe's technical process before the offer stage
Adobe's interview loop for Senior Data Science Engineers typically includes system design, ML depth, and a business case component. Demonstrating production-scale modeling experience, not just research, signals the seniority level that justifies a sponsored petition with DOL prevailing wage compliance.
Frequently Asked Questions
Does Adobe sponsor H-1B visas for Senior Data Science Engineers?
Yes, Adobe sponsors H-1B visas for Senior Data Science Engineer roles. Adobe participates in the annual H-1B cap lottery each April and also files cap-exempt petitions where eligible. If you're already in H-1B status with another employer, Adobe can file an H-1B transfer so you can start without waiting for a new cap cycle.
Which visa types does Adobe commonly sponsor for Senior Data Science Engineer roles?
Adobe sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and Green Card pathways including EB-2 and EB-3 for Senior Data Science Engineer positions. Australian citizens should ask specifically about the E-3 visa, which has no lottery and a faster processing timeline. Canadian and Mexican nationals may qualify for TN visa status, which can be obtained at the border.
What qualifications does Adobe expect for a Senior Data Science Engineer?
Adobe typically expects a master's or Ph.D. in computer science, statistics, or a related quantitative field, along with hands-on experience building and deploying ML models at scale. Proficiency in Python, deep learning frameworks, and experience with large-scale data pipelines are consistently required. Domain experience in personalization, computer vision, or NLP aligns well with Adobe's product priorities.
How do I apply for Senior Data Science Engineer jobs at Adobe?
You can browse Senior Data Science Engineer openings on Adobe's careers site or use Migrate Mate to filter specifically for Adobe roles that include visa sponsorship. When applying, tailor your resume to reflect production ML systems and measurable business impact. Adobe's hiring process for this level typically includes a recruiter screen, technical assessments, and a multi-round virtual interview loop.
How do I time my application if my OPT or visa status is expiring soon?
Apply as early as possible. If you're on F-1 OPT, confirm whether you qualify for a 24-month STEM OPT extension, which gives Adobe more runway to complete the H-1B process. USCIS premium processing can reduce the I-129 adjudication window to roughly 15 business days, which matters if your current status has a hard end date.