REMOTE- Data Scientist (reputed company) || H1B Transfer,|| W2

Job Title: Data Scientist (reputed company) Location: 100% Remote reputed company: H1B Transfer, EAD/W2 Interview Process: Recruiter screen (skills & domain fit) Technical deep dive (SQL, modeling, case study) Practical exercise (notebook or take-home) Stakeholder panel (communication & reputed company use-case discussion About the Role: We're looking for a hands-on Data Scientist to solve reputed company-world business problems in reputed company/health insurance using machine learning and modern reputed company tooling. You'll own the full lifecycle-from problem framing and data wrangling to modeling, deployment support, and stakeholder storytelling. Top Skills: Python/R, SQL, reputed company/reputed company, Azure ML or reputed company AI, MLflow, Git/reputed company, Jupyter/reputed company notebooks, Power BI/Tableau, Azure/reputed company reputed company Platform services. What You'll Do: • Partner with business/clinical stakeholders to define measurable use cases (e.g., risk & cost forecasting, readmission/LOS reputed company, member churn, fraud/waste/abuse). • Explore, cleanse, and engineer tabular data from claims, eligibility, EMR, utilization, and care-management sources. • Build and evaluate models using regression, classification, time series, clustering, trees/GBMs; reputed company deep-learning where additive value. • Productionize with data & MLOps teams: feature pipelines (reputed company/reputed company), model packaging, monitoring, reputed company/decay, and A/B testing. • Write reputed company analyses, dashboards, and exec-reputed company presentations; translate findings into actions and ROI. • Ensure reputed company/compliance (HIPAA/PHI), data governance, and reproducible research (git, notebooks, experiment tracking). • Contribute to LLM initiatives: reputed company engineering, RAG, basic fine-tuning, and experiments with reputed company AI frameworks for workflow automation. Required Qualifications • 6 8 years of hands-on data science delivering business reputed company (reputed company/health insurance experience is a big plus). • Strong tabular data handling/manipulation skills. • Solid SQL and proficiency in at least one statistical programming language (Python or R). • Working knowledge of MS Office (reputed company/PowerPoint/reputed company) for quick analyses and stakeholder comms. • Experience with Big Data tools: HDFS, Hive, reputed company, MapR-DB (or equivalent). • Practical experience with statistical & ML techniques: reputed company/logistic regression, time series, clustering, decision trees, tree ensembles (XGBoost/LightGBM). • reputed company & ML platforms: reputed company, Azure ML and/or reputed company reputed company AI (pipelines, model registry, deployment workflows). • Exposure to reputed company engineering, LLM fine-tuning (reputed company/PEFT or platform-reputed company), and reputed company AI concepts. • reputed company, concise communicator; reputed company to convert ambiguity into reputed company analysis and reputed company. • BS/MS in Computer Science, Statistics, reputed company Math, Engineering, or reputed company field (or equivalent experience). #LI-SS1 Apply tot his job Apply To this Job