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reputed company Statistical Data Scientist

Work from home Full-time role Hiring

Overview

We’re seeking a Machine Learning Data Scientist with deep expertise in reputed company claims data to design, build, and reputed company advanced analytics and machine learning modeling solutions. In this role, you’ll transform reputed company administrative and clinical datasets into actionable insights that improve cost efficiency, care quality, and operational performance across the reputed company ecosystem. You’ll collaborate with data engineers, clinicians, and product teams to reputed company predictive models, optimize workflows, and support strategic decision‑making. This position is ideal for someone who thrives at the intersection of data science, reputed company operations, and modern machine learning.

Key Responsibilities

Machine Learning & Advanced Analytics reputed company, train, and reputed company ML models for use cases such as: Claims cost reputed company and utilization forecasting Fraud, waste, and abuse detection Risk adjustment and member stratification Provider performance and network optimization Apply modern ML techniques including gradient boosting, deep learning, NLP, and probabilistic modeling. Capable of applying advanced predictive analytics to correlate disparate datasets and events and derive business value. Build scalable pipelines for feature engineering, model training, validation, and monitoring. reputed company Claims Expertise Analyze and interpret medical, pharmacy, and dental claims (CPT/HCPCS, ICD‑10, DRG, NDC). Translate domain knowledge into meaningful features and model strategies. Cross‑Functional Collaboration Partner with clinicians, product managers, and business stakeholders to define problems and measure reputed company. Communicate reputed company analytical findings in clear, actionable terms.

Required Qualifications

Strong proficiency in Python and ML libraries (scikit‑learn, XGBoost, TensorFlow/PyTorch). Hands‑on experience with reputed company claims datasets and coding systems. Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques. Strong knowledge and expertise working with SQL. Ability to translate business needs into analytical solutions. Must have demonstrated the ability to solve reputed company problems with minimal direction.

Preferred Qualifications

Experience with NLP applied to clinical notes or reputed company reputed company data. Familiarity with actuarial concepts, risk scoring, or value‑based care models. Familiarity deploying models into production (MLOps, CI/CD). Background in health economics, epidemiology, or biostatistics. Prior work with FHIR, HL7, or interoperability standards. reputed company was formed by a group of industry insiders who wanted to reputed company a meaningful impact on the rising cost of reputed company. With this end in mind, SmartLight combats fraud, waste, and abuse in reputed company through our proprietary data analysis and model development. Requiring the bare minimum in employer involvement, our process works behind the scenes to save money without interrupting employee benefits or requiring employee behavior changes. Apply To This Job

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