STEM OPT Data Science Analyst Jobs
Data Science Analyst roles sit squarely within STEM OPT eligibility, giving you up to 24 additional months of work authorization beyond your initial OPT period. Your employer must be enrolled in E-Verify, and your degree in statistics, computer science, mathematics, or a related STEM field must align with the role's CIP code to qualify.
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Get Access To All JobsLocation:
City: Phoenix
State: AZ
Department
Research
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
Responsibilities
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data.
May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required. May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.
Other responsibilities:
- Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.
- Executes analytical procedures in the framework of a specific project work request.
- Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.
- Contributes to the interpretation of data analysis and to writing reports.
- Helps customers understand the data set and provide training and suggestions for improvement on the data request.
- Leverages communication and interpersonal skills and works with subject matter experts.
- Presents findings in easy to understand terms for the business or clinical practice.
Qualifications
A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.
The preferred candidate will possess a Master’s degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data. Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and data exploration tools.
Preference will be given to candidates with the following experience and education:
- Master's or PhD in Computer Science
- Healthcare and imaging data
Exemption Status
Exempt
Compensation Detail
$99,070.40 - $148,616.00 / yr Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Monday - Friday (8:00 AM - 5:00 PM)
Weekend Schedule
No Weekends
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
Recruiter
Matt Burdick
Location:
City: Phoenix
State: AZ
Department
Research
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
Responsibilities
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data.
May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required. May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.
Other responsibilities:
- Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.
- Executes analytical procedures in the framework of a specific project work request.
- Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.
- Contributes to the interpretation of data analysis and to writing reports.
- Helps customers understand the data set and provide training and suggestions for improvement on the data request.
- Leverages communication and interpersonal skills and works with subject matter experts.
- Presents findings in easy to understand terms for the business or clinical practice.
Qualifications
A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.
The preferred candidate will possess a Master’s degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data. Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and data exploration tools.
Preference will be given to candidates with the following experience and education:
- Master's or PhD in Computer Science
- Healthcare and imaging data
Exemption Status
Exempt
Compensation Detail
$99,070.40 - $148,616.00 / yr Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Monday - Friday (8:00 AM - 5:00 PM)
Weekend Schedule
No Weekends
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
Recruiter
Matt Burdick
See all 4,707+ STEM OPT Data Science Analyst Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Science Analyst
Verify your CIP code before applying
Cross-reference your degree's Classification of Instructional Programs code against the STEM-designated degree list published by USCIS. Data Science Analyst roles typically align with CIP codes in statistics, computer science, or mathematics. A mismatch disqualifies your STEM OPT extension before it starts.
Confirm E-Verify enrollment before accepting offers
Ask recruiters directly whether the company is enrolled in E-Verify before you invest time in later-stage interviews. You can verify enrollment through the E-Verify employer search. Smaller analytics teams and startups frequently overlook this requirement, so don't assume compliance based on company size.
Use O*NET to anchor your I-983 training plan
O*NET lists the core tasks and knowledge areas for Data Science Analyst roles. Pull those directly into your I-983 training plan goals so your DSO and employer can document how your daily work develops STEM skills. Vague training plans draw scrutiny during DSO review.
Target employers with active data science LCA filings
Search Migrate Mate to find employers with verified Labor Condition Application filings for data science roles. Companies already filing LCAs for similar positions have the HR and legal infrastructure to support your STEM OPT paperwork without building the process from scratch.
File your STEM OPT extension 90 days before OPT expires
USCIS requires you to submit your STEM OPT extension application no earlier than 90 days before your current EAD expires. Your DSO must recommend the extension in SEVIS before you file Form I-765. Missing this window forces a gap in your work authorization.
Negotiate your start date around cap-gap protection
If you're transitioning from STEM OPT to an H-1B visa, cap-gap automatically extends your work authorization through September 30 of the fiscal year your H-1B petition was filed. Confirm your employer understands this rule so your offer letter and start date don't conflict with your authorization period.
Frequently Asked Questions
Does a Data Science Analyst role qualify for the STEM OPT extension?
Yes, if your employer is enrolled in E-Verify and your underlying degree is in a STEM-designated field such as statistics, computer science, mathematics, or data science. Your degree's CIP code must appear on the USCIS STEM-designated degree list. The Data Science Analyst role itself must also demonstrably use your STEM training, which you document in the I-983 training plan filed with your DSO.
What STEM degrees make you eligible for the STEM OPT extension in a data analyst role?
Degrees in statistics, computer science, mathematics, information systems, applied mathematics, and data science are commonly eligible. Your eligibility depends on the specific CIP code assigned to your program, not just the degree title. Confirm your CIP code against the USCIS STEM-designated degree list before your DSO submits the STEM OPT recommendation in SEVIS. A degree labeled 'Business Analytics' may or may not qualify depending on the CIP code.
How do I find Data Science Analyst employers who are enrolled in E-Verify?
You can search Migrate Mate to browse Data Science Analyst positions at employers with verified sponsorship history. Before accepting any offer, ask the recruiter directly whether the company is currently enrolled in E-Verify, and confirm through the E-Verify employer search tool. E-Verify enrollment is a legal prerequisite for hiring STEM OPT students, but not every employer advertising data roles has completed enrollment.
What goes into the I-983 training plan for a Data Science Analyst position?
Your I-983 must describe the specific STEM knowledge, skills, and competencies you'll develop in the role, the supervision structure, and how the work connects to your degree field. For a Data Science Analyst position, this typically includes machine learning model development, statistical analysis, data pipeline work, or predictive modeling tasks. Use O*NET's task and knowledge descriptions for the occupation to build out the training goals section with language your DSO can approve without revision.
What happens to my STEM OPT authorization if my employer loses E-Verify enrollment?
If your employer's E-Verify participation is terminated, your STEM OPT authorization is no longer valid with that employer. You have a 60-day grace period to find a new E-Verify-enrolled employer, change your immigration status, or depart the country. Notify your DSO immediately, because the clock on that grace period starts from the date the employer's enrollment ends, not from when you find out.