Data Scientist (Relocate to US)
ConfidentialSupport summary
No relocation support identified.
Explicitly identified in the job description.
About this role
π Data Scientist (5+ Years of Experience)
We are looking for a Senior Data Scientist with strong experience solving complex, real-world problems using data that is often fragmented, incomplete, and unstructured.
π‘ What youβll do
- Transform fragmented, ambiguous data into actionable insights.
- Design, build, and evaluate regression and classification models.
- Translate business needs into well-defined analytical projects in collaboration with Product and Marketing teams.
- Convert raw data into meaningful, decision-driving insights.
- Document data discovery processes, feature selection, modeling approaches, and interpretation of results.
π§ Required qualifications
- 5+ years of experience as a Data Scientist.
- Strong foundation in statistics, machine learning, and experimentation.
- Experience working with complex, messy, and poorly documented data.
- Advanced SQL skills.
- Strong Python skills for data analysis.
- Experience with Python libraries such as Pandas, NumPy, and scikit-learn.
- Strong quantitative, analytical, and problem-solving abilities.
π€ Stakeholder collaboration
- Proven experience working with business stakeholders and senior leaders.
- Ability to translate high-level, ambiguous business needs into concrete analytical solutions.
- Strong communication skills to explain technical findings to non-technical audiences.
βοΈ Nice to have
- Basic knowledge of cloud-based machine learning services (e.g., AWS).
What We Offer
β TN Visa Sponsorship
β Competitive salary package based on experience
β Visa fee reimbursement
β Flight ticket to client locations
β Health insurance according to company policy
β Access to hundreds of technical training programs and certification opportunities
β Green Card Sponsorship based on company policy
β Long-term career growth and job stability
Location
π United States (Relocation Required)
If you are passionate about data, machine learning, and solving challenging business problems, we'd love to hear from you.
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