STEM OPT Data Science Engineer Jobs
Data Science Engineer roles sit squarely within STEM OPT eligibility, letting you work for up to 36 months on your F-1 authorization if your employer is enrolled in E-Verify. Your STEM degree in computer science, statistics, or a related field qualifies you for the 24-month extension, giving you real runway to build U.S. experience.
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Get Access To All JobsThis is a fully remote role within the United States.
We’re looking for a driven, entrepreneurial Data Science Engineer to join our team and help eliminate the financial complexity of healthcare. You'll join our Data Science Engineering team supporting analytics, partnering closely with Product, Engineering, and business stakeholders to help Turquoise grow and scale our impact by making better decisions with data. From defining product metrics and measuring customer engagement to enabling self-service analytics and evaluating business initiatives, you'll build the datasets, pipelines, dashboards, and analyses that transform data into actionable insights across the company.
Responsibilities
- Partner cross-functionally with Product, Engineering, and business stakeholders to define metrics, measure outcomes, and evaluate impact
- Build and maintain data pipelines, data models, dashboards, and analytical infrastructure that support product, operational, and strategic decision-making
- Conduct analyses to understand product adoption, customer engagement, business performance, and operational efficiency
- Contribute to the development of analytics best practices, shared datasets, and company-wide metrics
- Seek and act on feedback from internal stakeholders; iterate quickly with an eye toward value
What You’ll Bring To The Role
- Bachelor's degree or equivalent experience. Non-traditional backgrounds welcome
- 2+ years developing data models, pipelines, and end-to-end analytical solutions in Python and SQL. Comfortable with OOP and functional patterns, code organization beyond scripts, and debugging workflows
- Experience with dataframe libraries (pandas, polars)
- Experience with ETL/ELT workflows and orchestration (Airflow, dbt)
- Comfort with cloud services (AWS S3, EC2, RDS)
- Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads
- Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs
- Comfortable working remotely in a collaborative, technical team
Bonus Points For Experience With
- Experience with b2b healthcare product analytics
- Experience applying quantitative methods (regression, causal inference) to product or business questions
- Thoughtful use of AI coding agents and LLMs in development workflows
Benefits
- Competitive pay with equity options
- Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options
- Company-sponsored disability & life insurance
- Unlimited PTO
- 401(k) + 4% Matching
- Fully remote work + flexible working hours
- $750 work-from-home setup budget
- Paid bi-annual in-person company gatherings
- Quarterly $150 co-hanging stipend to meet up with coworkers
- Monthly $100 health and wellness benefit
- Generous paid family leave
- Annual $1,200 learning & development stipend
About Turquoise Health
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, Adams Street, Yosemite, Bessemer Venture Partners, and others, we power price transparency for 300+ enterprise organizations and are building the infrastructure for a more open, efficient healthcare marketplace. We're a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership. We operate on US business hours and work with clients entirely based in the US. For this role, we are seeking US-based candidates.
We strongly encourage BIPOC, people with disabilities, and LGBTQIA+ folks to apply for any open roles of interest. Healthcare affects all people differently, but it significantly affects those in underserved communities. With a robust, diverse team, we are stronger and better equipped to change the future of healthcare for all.
Disability Accommodation Email
Turquoise is committed to providing reasonable accommodations to applicants and employees with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require assistance or an accommodation with the hiring process, please contact recruiting@turquoise.health
Compensation Range: $145K - $160K
This is a fully remote role within the United States.
We’re looking for a driven, entrepreneurial Data Science Engineer to join our team and help eliminate the financial complexity of healthcare. You'll join our Data Science Engineering team supporting analytics, partnering closely with Product, Engineering, and business stakeholders to help Turquoise grow and scale our impact by making better decisions with data. From defining product metrics and measuring customer engagement to enabling self-service analytics and evaluating business initiatives, you'll build the datasets, pipelines, dashboards, and analyses that transform data into actionable insights across the company.
Responsibilities
- Partner cross-functionally with Product, Engineering, and business stakeholders to define metrics, measure outcomes, and evaluate impact
- Build and maintain data pipelines, data models, dashboards, and analytical infrastructure that support product, operational, and strategic decision-making
- Conduct analyses to understand product adoption, customer engagement, business performance, and operational efficiency
- Contribute to the development of analytics best practices, shared datasets, and company-wide metrics
- Seek and act on feedback from internal stakeholders; iterate quickly with an eye toward value
What You’ll Bring To The Role
- Bachelor's degree or equivalent experience. Non-traditional backgrounds welcome
- 2+ years developing data models, pipelines, and end-to-end analytical solutions in Python and SQL. Comfortable with OOP and functional patterns, code organization beyond scripts, and debugging workflows
- Experience with dataframe libraries (pandas, polars)
- Experience with ETL/ELT workflows and orchestration (Airflow, dbt)
- Comfort with cloud services (AWS S3, EC2, RDS)
- Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads
- Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs
- Comfortable working remotely in a collaborative, technical team
Bonus Points For Experience With
- Experience with b2b healthcare product analytics
- Experience applying quantitative methods (regression, causal inference) to product or business questions
- Thoughtful use of AI coding agents and LLMs in development workflows
Benefits
- Competitive pay with equity options
- Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options
- Company-sponsored disability & life insurance
- Unlimited PTO
- 401(k) + 4% Matching
- Fully remote work + flexible working hours
- $750 work-from-home setup budget
- Paid bi-annual in-person company gatherings
- Quarterly $150 co-hanging stipend to meet up with coworkers
- Monthly $100 health and wellness benefit
- Generous paid family leave
- Annual $1,200 learning & development stipend
About Turquoise Health
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, Adams Street, Yosemite, Bessemer Venture Partners, and others, we power price transparency for 300+ enterprise organizations and are building the infrastructure for a more open, efficient healthcare marketplace. We're a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership. We operate on US business hours and work with clients entirely based in the US. For this role, we are seeking US-based candidates.
We strongly encourage BIPOC, people with disabilities, and LGBTQIA+ folks to apply for any open roles of interest. Healthcare affects all people differently, but it significantly affects those in underserved communities. With a robust, diverse team, we are stronger and better equipped to change the future of healthcare for all.
Disability Accommodation Email
Turquoise is committed to providing reasonable accommodations to applicants and employees with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require assistance or an accommodation with the hiring process, please contact recruiting@turquoise.health
Compensation Range: $145K - $160K
See all 2,972+ STEM OPT Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Data Science Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Science Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to a DHS-designated STEM field. Data science and computer science degrees typically qualify, but applied mathematics or information systems programs vary by institution and award year.
Confirm E-Verify enrollment before accepting offers
Your employer must be enrolled in E-Verify before your STEM OPT extension start date, not after. Search the E-Verify employer database by company name or EIN to confirm active enrollment before you sign anything.
Research prevailing wages using OFLC Wage Search
Data Science Engineer salaries vary sharply by location and experience level. Pull the prevailing wage for your specific SOC code and metro area using OFLC Wage Search so you can negotiate from a position grounded in DOL wage data.
Target employers with active LCA filing history
Use Migrate Mate to filter Data Science Engineer roles by employers who have filed Labor Condition Applications, which signals both E-Verify enrollment and familiarity with the STEM OPT and H-1B visa process your career path will likely require.
Negotiate your I-983 training plan before your start date
The I-983 must detail specific learning objectives tied to your STEM degree, not just your job description. Bring a draft to the offer stage so your DSO can review it alongside your start date rather than scrambling after you've already begun work.
Time your extension application around the 90-day window
USCIS requires you to file your STEM OPT extension before your initial OPT EAD expires. Apply within the 90-day window that opens before expiration so a timely filing keeps you authorized while USCIS adjudicates.
Frequently Asked Questions
Does a data science or computer science degree qualify for the STEM OPT extension?
Most data science, computer science, statistics, and engineering degrees qualify because they map to DHS-designated CIP codes. Applied mathematics and information systems programs sometimes qualify depending on how your institution coded the award. Confirm your exact CIP code with your DSO before your initial OPT ends, since the designation is tied to the degree on your I-20, not your job title.
What E-Verify requirement applies to Data Science Engineer STEM OPT jobs?
Your employer must be actively enrolled in E-Verify before your STEM OPT extension period begins. Enrollment after your start date does not satisfy the requirement. You can verify a company's enrollment status by searching the E-Verify employer database by company name or EIN. If the employer isn't listed, your DSO cannot approve the I-983 training plan and your extension will be at risk.
What goes into the I-983 training plan for a Data Science Engineer role?
The I-983 must connect your specific work activities to the STEM field of your degree. For a Data Science Engineer role, that means detailing the models you'll build, the data pipelines you'll own, and the engineering methods you'll apply, alongside measurable learning objectives. Generic job descriptions aren't sufficient. Your employer's HR or engineering lead signs the plan, and your DSO must approve it before USCIS adjudicates the extension.
How does cap-gap protection work if I'm a Data Science Engineer on STEM OPT?
If your employer files an H-1B petition on your behalf before your STEM 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 Science Engineer during this bridge period without a new EAD. USCIS provides guidance on cap-gap eligibility and documentation requirements.
Where can I find Data Science Engineer jobs where the employer is already set up for STEM OPT?
Migrate Mate filters Data Science Engineer listings by employers with active Labor Condition Application filing history, which indicates both E-Verify enrollment and prior experience sponsoring international candidates. Searching there saves you from spending weeks in a recruiting process only to discover the employer has never hired on OPT and isn't enrolled in E-Verify.