Senior Data Science Engineer Jobs
Senior Data Science Engineer jobs are open across technology, finance, healthcare, and e-commerce, from mid-level to staff and principal, with specializations in machine learning infrastructure, large-scale data pipelines, and applied modeling. Find a role that fits from the openings below and apply directly.
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Showing 5 of 3,390+ Senior Data Science Engineer jobs
INTRODUCTION
Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact millions of users worldwide. At Adobe, you will collaborate with exceptionally dedicated colleagues, drive ambitious projects, and contribute to crafting flawless solutions. If you are passionate about data science and eager to make a significant impact, this is the role for you!
ROLE AND RESPONSIBILITIES
- Develop and implement models to solve complex problems
- Collaborate with cross-functional teams to determine project requirements and deliverables
- Use proven methodologies to ensure data accuracy and model reliability
- Compete in a dynamic environment to successfully implement innovative solutions
- Analyze and interpret large datasets to provide actionable insights
- Lead initiatives to improve the performance and scalability of our data platforms
BASIC QUALIFICATIONS
- Degree or equivalent experience with 7+ years of practical experience
- Strong expertise in statistical analysis, machine learning, and data mining
- Proficiency in programming languages such as Python, R, or Scala
- Experience with big data technologies like Hadoop, Spark, or Kafka
- Ability to strictly adhere to deadlines while maintaining high-quality standards
- Excellent communication skills and a collaborative approach
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.
INTRODUCTION
Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact millions of users worldwide. At Adobe, you will collaborate with exceptionally dedicated colleagues, drive ambitious projects, and contribute to crafting flawless solutions. If you are passionate about data science and eager to make a significant impact, this is the role for you!
ROLE AND RESPONSIBILITIES
- Develop and implement models to solve complex problems
- Collaborate with cross-functional teams to determine project requirements and deliverables
- Use proven methodologies to ensure data accuracy and model reliability
- Compete in a dynamic environment to successfully implement innovative solutions
- Analyze and interpret large datasets to provide actionable insights
- Lead initiatives to improve the performance and scalability of our data platforms
BASIC QUALIFICATIONS
- Degree or equivalent experience with 7+ years of practical experience
- Strong expertise in statistical analysis, machine learning, and data mining
- Proficiency in programming languages such as Python, R, or Scala
- Experience with big data technologies like Hadoop, Spark, or Kafka
- Ability to strictly adhere to deadlines while maintaining high-quality standards
- Excellent communication skills and a collaborative approach
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.
See All 3,390+ Senior Data Science Engineer Jobs
Jump back to the full list of openings and apply to any senior data science engineer role that fits.
Find JobsSenior Data Science Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- NVIDIA254
- Apple131
- Amazon119
- Capital One80
- Databricks44
Top Industries Hiring
- Technology & Software1,465
- Consulting & Professional Services283
- Electronics & Hardware253
- Banking & Financial Services219
- Artificial Intelligence109
What Employers Look For
The qualifications that appear most often in senior data science engineer jobs.
- 5 or more years of experience in data science, machine learning, or a related engineering discipline
- Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Hands-on experience designing and deploying production-grade machine learning pipelines
- Strong command of distributed computing tools including Spark, Databricks, or equivalent platforms
- Experience with cloud platforms such as AWS, Google Cloud, or Azure for data and model infrastructure
- Bachelor's or master's degree in computer science, statistics, mathematics, or a closely related field
Tips for Your Senior Data Science Engineer Job Search
Quantify your modeling impact clearly
Hiring managers want to see what your models actually moved. Replace vague claims with specifics: latency reduced, prediction accuracy improved, or revenue attributed to a deployed system. Concrete outcomes separate senior candidates from mid-level ones faster than any credential.
Tailor your resume to the stack
Senior data science engineer roles vary widely by tooling. One company runs Spark on Databricks, another on Kubernetes with Ray. Scan each job posting for the exact stack and mirror that language in your resume so automated screening and hiring managers both register the match.
Target roles by architecture ownership
Some postings want someone to build pipelines, others want someone to own the full ML platform. Read the responsibilities section carefully and apply to roles where the scope matches what you can lead independently, not just contribute to.
Apply early to roles that fit
Migrate Mate lists senior data science engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design walkthrough
Most senior-level loops include a machine learning system design round. Practice walking through feature stores, serving infrastructure, monitoring, and retraining pipelines out loud. Interviewers are testing whether you think end-to-end, not just whether you can tune a model.
Negotiate scope before you negotiate compensation
At this seniority level, title scope and team ownership vary more than the pay band. Before your final conversation, clarify what decisions you'd own, whether you'd manage engineers, and how success gets measured. Misaligned scope costs more than a lower offer over time.
Senior Data Science Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior data science engineers?
The companies hiring the most senior data science engineers right now include NVIDIA, Apple, and Amazon, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is especially high at companies scaling ML infrastructure across cloud-native platforms.
How many senior data science engineer jobs are remote?
About 30% of senior data science engineer openings are fully remote or hybrid as of June 2026, making this one of the more flexible senior technical roles in the market. ML platform engineering and research-adjacent positions tend to carry the highest share of fully remote arrangements compared to roles tied to real-time production systems.
How do you become a senior data science engineer?
You reach the senior level by owning production machine learning systems end-to-end, not just building models in notebooks. That means shipping models that run reliably in production, learning pipeline orchestration and feature engineering at scale, and contributing to architectural decisions. Most engineers get there by taking on increasing infrastructure ownership over several years and demonstrating that their work directly influences business outcomes.
Can you get hired as a senior data science engineer with limited experience?
It's possible if you can demonstrate depth in a specific area that is hard to find. Strong open-source contributions, a portfolio of production ML projects, or deep expertise in a specialized domain like recommendation systems or computer vision can offset a shorter work history. Targeting startups or smaller teams where scope is broader and seniority expectations are more flexible also improves your chances significantly.
What does the senior data science engineer interview process look like?
The process typically includes a recruiter screen, a technical phone interview covering ML concepts and coding, a machine learning system design round, and a full loop with several panel interviews. The system design round is the stage where senior candidates are most frequently filtered out. Expect to walk through how you would architect a complete ML system, including data ingestion, training, serving, and monitoring, rather than just solve a modeling problem.
Where can I find and apply to senior data science engineer jobs?
You can find and apply to senior data science engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your experience and specialization, then apply directly to each listing.
See All 3,390+ Senior Data Science Engineer Jobs
Jump back to the full list of openings and apply to any senior data science engineer role that fits.
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