Data Scientist
About the role
Data Scientist | F-1 / OPT / STEM OPT
📍 Location: United States
đź’Ľ Job Type: Full-Time
🎓 Visa: F-1 / OPT / STEM OPT
We’re connecting with talented Data Scientists who are exploring full-time opportunities in the U.S.
This opportunity is suitable for recent Master’s graduates with a strong foundation in Data Science, Machine Learning, Statistics, or related fields.
Key Responsibilities:
- Analyze large datasets and generate actionable insights.
- Develop and evaluate machine learning models.
- Perform data cleaning, preprocessing, and feature engineering.
- Apply statistical techniques to solve business problems.
- Build reports and visualizations to communicate findings.
- Collaborate with Data, Engineering, Product, and Business teams.
Skills:
- Python
- SQL
- Machine Learning
- Statistics
- Pandas / NumPy / Scikit-learn
- Power BI / Tableau
- Strong analytical and problem-solving skills
Education:
Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Data Analytics, or a related field.
Visa Eligibility:
F-1 / OPT / STEM OPT candidates with valid U.S. work authorization are welcome to connect.
Recent Master’s graduates currently based in the U.S. are especially encouraged to explore this opportunity.
Candidate Support:
âś… Profile & opportunity alignment
âś… Interview scheduling support
âś… Technical preparation
âś… Hiring-process guidance
âś… Referral support whenever possible
đź“© If you're exploring Data Science opportunities in the U.S., feel free to connect or DM your profile.
Opportunities depend on hiring-partner requirements and individual profile fit.
Responsibilities
- Analyze large datasets and generate actionable insights.
- Develop and evaluate machine learning models.
- Perform data cleaning, preprocessing, and feature engineering.
- Apply statistical techniques to solve business problems.
- Build reports and visualizations to communicate findings.
- Collaborate with Data, Engineering, Product, and Business teams.
Qualifications
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Data Analytics, or a related field.
- Strong foundation in Data Science, Machine Learning, Statistics, or related fields.
Benefits
- Profile & opportunity alignment
- Interview scheduling support
- Technical preparation
- Hiring-process guidance
- Referral support whenever possible