STEM OPT Data Scientist Jobs
Data Scientist roles in machine learning, statistical modeling, and data engineering qualify for the STEM OPT extension when your degree is in a STEM-designated field. The 24-month extension gives you up to 36 months of work authorization, but your employer must be enrolled in E-Verify before you can start.
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Apple’s Strategic Data Solutions (SDS) team leads efforts to mitigate monetary losses, ensure financial crimes regulatory compliance, optimize various business processes, and improve the customer journey across our programs. Our team applies data science and machine learning to drive strategic impact across multiple lines of business at Apple. We are looking for an outstanding Data Scientist who is interested in working closely with cross-functional and cross-organizational teams to understand client processes and analyze business needs, document and understand business requirements, conduct analytic investigations, perform system and workflow testing and validation, track and develop analytics, and develop/implement technical solutions. This includes ability to use Python, create new metrics and analytics, and making recommendations to improve quality and efficiency. They will sit side-by-side with our machine learning engineers and software engineers, analyze complex business problems, complete our annual end to end testing, participate in cross functional UAT testing, have access to internal and external data sources, and be expected to communicate relevant insights to senior leadership and key decision-makers. The ideal candidate works well in collaborative environments with minimal formal structure and is comfortable in changing environments with competing priorities. They must possess solid business acumen, a strong technical background, natural curiosity, and the ability to effectively shift between communications styles based on the audience (technical peer review through leadership update).
DESCRIPTION
Support discovery of business problems
Analyze and interpret new sources of data
Perform ad-hoc and reoccurring investigations and analyses
Work with machine learning engineers, software engineers, and engineering program managers to generate seamless business intelligence solutions for business partners
Present results of analyses to business units
Prepare documentation and analysis for integration testing, audits and exams
Excellent communication skills, both written and verbal. Ability to facilitate meetings, collect minutes, gather action items, and drive tasks to completion. Entity Relationship Diagram experience is a must.
MINIMUM QUALIFICATIONS
- BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar)
- At least 3-5 yrs experience working as a QBA, Data Scientist, or related role
- Experience in investigations, testing, building metrics and reporting, and predictive analysis
- Competent with SQL and big data systems and tools
- Programming skills in Python
- Experience applying analytical techniques to provide solutions to real business problems
- Experience eliciting and building comprehensive business requirements and project plans
- Documenting features and developing functions for technical systems.
- Validating Functional Specifications against Business Requirements
- Assist in all stages of implementation (requirements test scripts, UAT, production release).
- Representing the Business Requirements in Design Reviews, Code Reviews and QA Reviews.
- Creating Quality Assurance Test scripts to validate Business Requirements and occasional Engineering Requirements.
PREFERRED QUALIFICATIONS
- Assisting with the Quality Assurance Testing, audits, and regulatory exams
- Work with business groups during UAT to address questions and solve issues
- Strong interpersonal skills with ability to connect and develop strong partnerships
- Strong verbal / written communication skills
- Creativity to go beyond current tools to deliver best solution to the problem
- Inquisitiveness and a desire for continued self-improvement and development of new skills
- Comfort working independently and making key decisions on projects
- Ability to tell meaningful and accurate stories with data, analysis
- Background in finance, auditing, financial crimes compliance, and/or payments preferred
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
Apple’s Strategic Data Solutions (SDS) team leads efforts to mitigate monetary losses, ensure financial crimes regulatory compliance, optimize various business processes, and improve the customer journey across our programs. Our team applies data science and machine learning to drive strategic impact across multiple lines of business at Apple. We are looking for an outstanding Data Scientist who is interested in working closely with cross-functional and cross-organizational teams to understand client processes and analyze business needs, document and understand business requirements, conduct analytic investigations, perform system and workflow testing and validation, track and develop analytics, and develop/implement technical solutions. This includes ability to use Python, create new metrics and analytics, and making recommendations to improve quality and efficiency. They will sit side-by-side with our machine learning engineers and software engineers, analyze complex business problems, complete our annual end to end testing, participate in cross functional UAT testing, have access to internal and external data sources, and be expected to communicate relevant insights to senior leadership and key decision-makers. The ideal candidate works well in collaborative environments with minimal formal structure and is comfortable in changing environments with competing priorities. They must possess solid business acumen, a strong technical background, natural curiosity, and the ability to effectively shift between communications styles based on the audience (technical peer review through leadership update).
DESCRIPTION
Support discovery of business problems
Analyze and interpret new sources of data
Perform ad-hoc and reoccurring investigations and analyses
Work with machine learning engineers, software engineers, and engineering program managers to generate seamless business intelligence solutions for business partners
Present results of analyses to business units
Prepare documentation and analysis for integration testing, audits and exams
Excellent communication skills, both written and verbal. Ability to facilitate meetings, collect minutes, gather action items, and drive tasks to completion. Entity Relationship Diagram experience is a must.
MINIMUM QUALIFICATIONS
- BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar)
- At least 3-5 yrs experience working as a QBA, Data Scientist, or related role
- Experience in investigations, testing, building metrics and reporting, and predictive analysis
- Competent with SQL and big data systems and tools
- Programming skills in Python
- Experience applying analytical techniques to provide solutions to real business problems
- Experience eliciting and building comprehensive business requirements and project plans
- Documenting features and developing functions for technical systems.
- Validating Functional Specifications against Business Requirements
- Assist in all stages of implementation (requirements test scripts, UAT, production release).
- Representing the Business Requirements in Design Reviews, Code Reviews and QA Reviews.
- Creating Quality Assurance Test scripts to validate Business Requirements and occasional Engineering Requirements.
PREFERRED QUALIFICATIONS
- Assisting with the Quality Assurance Testing, audits, and regulatory exams
- Work with business groups during UAT to address questions and solve issues
- Strong interpersonal skills with ability to connect and develop strong partnerships
- Strong verbal / written communication skills
- Creativity to go beyond current tools to deliver best solution to the problem
- Inquisitiveness and a desire for continued self-improvement and development of new skills
- Comfort working independently and making key decisions on projects
- Ability to tell meaningful and accurate stories with data, analysis
- Background in finance, auditing, financial crimes compliance, and/or payments preferred
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
See all 196+ STEM OPT Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Data Scientist Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Scientist
Confirm your CIP code before applying
Not every data-related degree qualifies for STEM OPT. Check your degree's Classification of Instructional Programs code against the DHS STEM Designated Degree Program List. Statistics, computer science, and applied mathematics all qualify; general business analytics often does not.
Verify E-Verify enrollment before accepting offers
Your employer must be actively enrolled in E-Verify before your STEM OPT extension begins. Search the E-Verify employer search tool by company name and location before signing. A company that intends to enroll but hasn't yet cannot legally employ you under STEM OPT.
Target employers with active data science LCA filings
Companies that have filed Labor Condition Applications for data scientist or machine learning engineer roles have already navigated the DOL process for STEM workers. Use Migrate Mate to filter for employers with verified STEM OPT hiring history in your field.
Build your I-983 training plan before day one
Your I-983 must map specific job duties to the STEM learning objectives USCIS requires. For data scientists, tie modeling and pipeline work to measurable outcomes. DSOs routinely flag vague plans, so draft it with your hiring manager during the offer negotiation stage.
Apply 90 days before your OPT end date
USCIS requires your STEM OPT extension application to be filed at least 90 days before your current EAD expires. Late filing forfeits the extension window and breaks your work authorization, so align your job search timeline to that deadline.
Check prevailing wage levels for your target metro
Data scientist prevailing wages vary significantly by geography and experience level. Use the OFLC Wage Search to see DOL wage levels for your SOC code before negotiating an offer. An employer offering below Level I wages may face LCA compliance problems later.
Frequently Asked Questions
Does my degree qualify for the STEM OPT extension as a data scientist?
Your degree must appear on the DHS STEM Designated Degree Program List by its Classification of Instructional Programs code. Degrees in statistics, computer science, mathematics, and most engineering fields qualify. Applied data analytics or business intelligence degrees may not, depending on how your institution classified the program. Confirm the CIP code on your transcript or with your DSO before assuming eligibility.
Does my data scientist employer need to be enrolled in E-Verify?
Yes. E-Verify enrollment is a hard requirement for STEM OPT, not a preference. Your employer must be enrolled before your extension period starts, not at some point during your employment. You can verify enrollment through the E-Verify employer search. If your employer is a staffing agency placing you at a client site, both entities may need to be enrolled depending on who controls your day-to-day work.
What goes into the I-983 training plan for a data scientist role?
The I-983 must describe how your specific job duties produce practical training in your STEM field. For data scientists, that means documenting how work on model development, data pipelines, or statistical analysis connects to learning objectives tied to your degree. Vague descriptions like 'analyze data' get flagged. Your manager signs off, your DSO reviews it, and USCIS can audit it, so specificity matters from the start.
How does cap-gap protection work if I'm waiting for H-1B approval?
If your employer files an H-1B visa petition on your behalf before your OPT EAD expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that fiscal year. You can continue working as a data scientist during this period without a new EAD. USCIS publishes cap-gap guidance each spring confirming the extension rules for that cycle.
Where can I find data scientist jobs at employers that hire STEM OPT students?
Migrate Mate filters data scientist listings by employers with verified E-Verify enrollment and STEM OPT hiring history, so you're not applying to companies that can't legally bring you on. This matters because many job postings don't disclose E-Verify status upfront, and finding out after an offer wastes weeks of your authorization window.