H-1B Visa Senior Staff Data Scientist Jobs
Senior Staff Data Scientists command some of the strongest H-1B visa sponsorship rates in tech, with roles classified under SOC codes that consistently clear the specialty occupation bar. Employers filing LCAs for this level typically sponsor at all three H-1B wage tiers, and premium processing is common given the seniority and business-critical nature of the work.
Find H-1B Visa Senior Staff Data Scientist JobsOverview
Showing 5 of 41+ Senior Staff Data Scientist jobs
See all 41+ Senior Staff Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Staff Data Scientist roles.
Get Access To All JobsJob ID: 2019050
Career Area: ICT, Digital and Data
Position Type: Salaried
Location: Headquarters & Technology Center – Auburn Hills 48326, US
Date Posted: June 17, 2026
Brand: FCA Group
ABOUT THE ROLE:
We are looking for a Senior Staff Data Scientist (ML/AI) to serve as a technical leader, architect, and individual contributor within the Machine Learning & AI Engineering team at Stellantis.
This role sits at the intersection of machine learning, advanced analytics, experimentation, and large-scale vehicle/IoT data systems. You will define and influence how ML and AI are used across vehicle quality, engineering systems, and customer experience outcomes.
This is a high-impact, senior IC role (Staff/Principal level influence) responsible for shaping technical strategy, designing scalable ML systems, and driving measurable business outcomes such as quality improvement, warranty reduction, and customer experience enhancement.
WHAT YOU WILL DO:
Technical Leadership & ML Strategy (Staff-Level Ownership)
- Define and evolve the ML/AI architecture and framework supporting quality, engineering, and vehicle analytics across the organization
- Set technical direction for:
- Machine learning systems
- Experimentation platforms
- Data science architecture
- Act as a trusted technical advisor to senior leadership on:
- Model feasibility
- Trade-offs (accuracy, scalability, cost, interpretability)
- Business impact of ML/AI initiatives
- Influence roadmap decisions across engineering and product organizations
Advanced Machine Learning & Statistical Modeling
- Develop and deploy predictive, prescriptive, and causal models using:
- Vehicle data
- IoT sensor data
- Enterprise datasets
- Apply advanced techniques including:
- Statistical modeling
- Machine learning algorithms
- Deep learning / neural networks
- Lead root cause analysis for vehicle quality, performance, and system failures
- Design and build LLM-based systems and agentic AI solutions for engineering and quality use cases
Data Science Platform & Scalable Systems
- Architect and guide development of large-scale distributed data and ML systems
- Build and scale analytics pipelines using Spark-based distributed processing frameworks
- Lead ML model lifecycle management, including:
- Training
- Validation
- Deployment
- Monitoring in production
- Ensure models and systems are:
- Explainable
- Reliable
- Production-ready
- Compliant with automotive/regulatory standards
Experimentation & Product Impact
- Own and evolve the experimentation framework/platform for safe, scalable testing of vehicle and software features
- Design statistically sound experiments (A/B tests and beyond)
- Translate experimental results into clear product and engineering decisions
- Drive measurable business outcomes including:
- Warranty cost reduction
- Improved product quality
- Enhanced customer experience
- Revenue-impacting insights
Influence, Mentorship & Knowledge Sharing
- Mentor senior and mid-level data scientists, raising technical standards across the team
- Help teams with:
- Problem formulation
- Research design
- Statistical interpretation
- Contribute to internal knowledge systems and external-facing technical content (e.g., blogs or papers)
- Serve as a cross-functional leader bridging engineering, product, and executive teams
WHAT SUCCESS LOOKS LIKE (TOP PERFORMERS)
Strong candidates will demonstrate:
- Proven impact from deployed ML systems or production analytics products
- Quantifiable improvements in:
- Vehicle quality
- Warranty reduction
- Customer experience metrics
- Ability to influence technical strategy beyond their immediate team
- Strong communication skills with executive and non-technical stakeholders
Demonstrated ability to turn complex analysis into business decisions and outcomes
EOE/Disability/Veteran
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.
Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.
Job ID: 2019050
Career Area: ICT, Digital and Data
Position Type: Salaried
Location: Headquarters & Technology Center – Auburn Hills 48326, US
Date Posted: June 17, 2026
Brand: FCA Group
ABOUT THE ROLE:
We are looking for a Senior Staff Data Scientist (ML/AI) to serve as a technical leader, architect, and individual contributor within the Machine Learning & AI Engineering team at Stellantis.
This role sits at the intersection of machine learning, advanced analytics, experimentation, and large-scale vehicle/IoT data systems. You will define and influence how ML and AI are used across vehicle quality, engineering systems, and customer experience outcomes.
This is a high-impact, senior IC role (Staff/Principal level influence) responsible for shaping technical strategy, designing scalable ML systems, and driving measurable business outcomes such as quality improvement, warranty reduction, and customer experience enhancement.
WHAT YOU WILL DO:
Technical Leadership & ML Strategy (Staff-Level Ownership)
- Define and evolve the ML/AI architecture and framework supporting quality, engineering, and vehicle analytics across the organization
- Set technical direction for:
- Machine learning systems
- Experimentation platforms
- Data science architecture
- Act as a trusted technical advisor to senior leadership on:
- Model feasibility
- Trade-offs (accuracy, scalability, cost, interpretability)
- Business impact of ML/AI initiatives
- Influence roadmap decisions across engineering and product organizations
Advanced Machine Learning & Statistical Modeling
- Develop and deploy predictive, prescriptive, and causal models using:
- Vehicle data
- IoT sensor data
- Enterprise datasets
- Apply advanced techniques including:
- Statistical modeling
- Machine learning algorithms
- Deep learning / neural networks
- Lead root cause analysis for vehicle quality, performance, and system failures
- Design and build LLM-based systems and agentic AI solutions for engineering and quality use cases
Data Science Platform & Scalable Systems
- Architect and guide development of large-scale distributed data and ML systems
- Build and scale analytics pipelines using Spark-based distributed processing frameworks
- Lead ML model lifecycle management, including:
- Training
- Validation
- Deployment
- Monitoring in production
- Ensure models and systems are:
- Explainable
- Reliable
- Production-ready
- Compliant with automotive/regulatory standards
Experimentation & Product Impact
- Own and evolve the experimentation framework/platform for safe, scalable testing of vehicle and software features
- Design statistically sound experiments (A/B tests and beyond)
- Translate experimental results into clear product and engineering decisions
- Drive measurable business outcomes including:
- Warranty cost reduction
- Improved product quality
- Enhanced customer experience
- Revenue-impacting insights
Influence, Mentorship & Knowledge Sharing
- Mentor senior and mid-level data scientists, raising technical standards across the team
- Help teams with:
- Problem formulation
- Research design
- Statistical interpretation
- Contribute to internal knowledge systems and external-facing technical content (e.g., blogs or papers)
- Serve as a cross-functional leader bridging engineering, product, and executive teams
WHAT SUCCESS LOOKS LIKE (TOP PERFORMERS)
Strong candidates will demonstrate:
- Proven impact from deployed ML systems or production analytics products
- Quantifiable improvements in:
- Vehicle quality
- Warranty reduction
- Customer experience metrics
- Ability to influence technical strategy beyond their immediate team
- Strong communication skills with executive and non-technical stakeholders
Demonstrated ability to turn complex analysis into business decisions and outcomes
EOE/Disability/Veteran
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.
Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.
See all 41+ H-1B Visa Senior Staff Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Senior Staff Data Scientist Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Staff Data Scientist
Map your role to the right SOC code
Senior Staff Data Scientist roles often straddle SOC 15-2051 (Data Scientists) and 15-1221 (Computer and Information Research Scientists). Pull the O*NET profile for each and match your actual job duties before your employer files the LCA. Misclassification is a leading RFE trigger at this level.
Document your prevailing wage tier early
Run an OFLC Wage Search using your work location's metropolitan statistical area before negotiating an offer. At the Senior Staff level, you're likely in Wage Level III or IV. Confirming this before the LCA is filed prevents last-minute offer renegotiation or refilings.
Target employers with cap-exempt filing history
Universities, nonprofit research organizations, and certain government-affiliated labs are H-1B cap-exempt, meaning they can file year-round without lottery exposure. Senior Staff Data Scientists in applied research or faculty-adjacent roles are often eligible. Filtering by employer type narrows your search to organizations that can move fast.
Find sponsors through verified LCA filing data on Migrate Mate
Search Senior Staff Data Scientist roles on Migrate Mate to see which employers have active LCA filing history for this exact title. That filters out companies that say they sponsor but rarely do, so you're applying where H-1B petitions for this level actually get filed.
Prepare a specialty occupation memo before interviews
At the Senior Staff level, USCIS scrutinizes whether the role genuinely requires a specific bachelor's degree field, not just any advanced degree. Draft a one-page summary linking your degree discipline to the technical scope of the role before offer stage. Employers appreciate candidates who make the petition easier to defend.
Negotiate premium processing into your offer
USCIS premium processing moves I-129 adjudication to 15 business days. For Senior Staff roles with delayed start dates or competitive counteroffers in play, request that your employer elect premium processing as a condition of acceptance. Most large tech and finance sponsors treat this as standard for senior hires.
H-1B Visa Senior Staff Data Scientist: Frequently Asked Questions
Does a Senior Staff Data Scientist role qualify as a specialty occupation for H-1B purposes?
Yes, in nearly all cases. USCIS evaluates whether the position normally requires at least a bachelor's degree in a specific field. Senior Staff Data Scientist roles consistently meet this bar because they require specialized training in statistics, computer science, or a closely related discipline. Staff and principal-level positions actually carry less specialty occupation risk than entry-level roles, since the technical depth is easier to document in the LCA and support letter.
Which employers sponsor H-1B visas for Senior Staff Data Scientists?
Technology companies, financial institutions, healthcare analytics firms, and research-focused organizations are the most active sponsors for this title. Because the role sits at a senior individual contributor level, sponsors tend to be organizations with established immigration programs rather than early-stage startups. Migrate Mate surfaces employers with verified LCA filing history for Senior Staff Data Scientist roles specifically, so you can identify active sponsors before applying.
How does the H-1B lottery affect Senior Staff Data Scientist hiring timelines?
The annual H-1B lottery runs in March for an October 1 start date, creating a roughly six-month gap between selection and work authorization. Senior Staff roles are often critical enough that employers use this window to negotiate a delayed start or bridge the gap with consulting arrangements. Cap-exempt employers, such as universities and nonprofit research labs, can file outside the lottery entirely, which is worth factoring into your job search at this level.
What wage level should a Senior Staff Data Scientist expect on the LCA?
Most Senior Staff Data Scientist roles are classified at DOL Wage Level III or IV, reflecting the advanced knowledge, independent judgment, and scope of responsibility the title implies. Your employer must certify on the LCA that your offered wage meets or exceeds the prevailing wage for your SOC code in your work location. You can verify the applicable wage floor using the OFLC Wage Search before finalizing your offer.
Can a Senior Staff Data Scientist switch employers while on H-1B?
Yes, H-1B portability under AC21 lets you start work with a new employer as soon as your new employer files a concurrent or new H-1B petition, provided your current H-1B has been approved for at least 180 days. For Senior Staff roles, the specialty occupation documentation from your previous petition can inform the new filing, but your new employer needs to file their own I-129. Make sure you don't let your current status lapse before the new petition is received by USCIS.