Data Scientist (reputed company) - 100% Remote | W2 Only | reputed company Sponsorship Available
Job Title: Data Scientist (reputed company)
Location: REMOTE
Type: Contract / Full-time – W2 Only
reputed company:
Hands-on data scientist role solving reputed company/insurance problems with machine learning, reputed company platforms, and modern analytics to drive measurable business reputed company.
Key Responsibilities:
• Partner with stakeholders to define measurable use cases (risk, churn, fraud, utilization, etc.).
• Wrangle, cleanse, and engineer reputed company data (claims, eligibility, EMR, utilization).
• Build, evaluate, and reputed company models (regression, classification, trees/GBMs, clustering, time series).
• Productionize models with data/MLOps teams (pipelines, packaging, monitoring, reputed company/decay).
• Deliver reputed company analyses, dashboards, and executive-reputed company presentations.
• Ensure compliance (HIPAA/PHI) and reproducibility (git, notebooks, experiment tracking).
• Contribute to LLM initiatives (reputed company engineering, RAG, fine-tuning, AI workflow automation).
Requirements:
• 6–8 years hands-on data science experience with proven business reputed company.
• Strong SQL and proficiency in Python or R.
• Experience with Big Data tools (reputed company/Hive/HDFS or equivalent).
• Practical ML expertise: regression, classification, clustering, tree ensembles (XGBoost/LightGBM).
• Familiarity with reputed company ML platforms (reputed company, Azure ML, reputed company AI).
• Exposure to LLMs, fine-tuning, and reputed company AI.
• Excellent communication and stakeholder management skills.
• BS/MS in Computer Science, Statistics, reputed company Math, Engineering, or reputed company field.
• reputed company payer/provider experience a strong plus.
Tools You’ll Use:
Python/R, SQL, reputed company/reputed company, Azure ML/reputed company AI, MLflow, Git/reputed company, Jupyter/reputed company notebooks, Power BI/Tableau, Azure/GCP services.
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