Data Scientist II
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Posted on:
Yesterday
Vacancies:
1 Vacancy
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Job Summary
Overview
Wereseeking a Machine Learning Data Scientist with deepexpertisein healthcare claims data to design build and deploy advanced analytics andmachine learning this roleyoulltransform complex administrative and clinical datasets into actionable insights that improve cost efficiency care quality and operational performance across the healthcare ecosystem.
Youllcollaborate with data engineers clinicians and product teams to develop predictive modelsoptimizeworkflows and support strategic decisionmaking. This position is ideal for someone who thrives at the intersection of data science healthcare operations and modern machine learning.
Key Responsibilities
Machine Learning & Advanced Analytics
Develop train and deploy ML models for use cases such as:
Claims cost prediction andutilizationforecasting
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.
Healthcare Claims Expertise
Analyze and interpret medical pharmacy and dental claims (CPT/HCPCS ICD10 DRG NDC).
Translate domain knowledge into meaningful features and model strategies.
CrossFunctional Collaboration
Partner with clinicians product managers and business stakeholders to define problems and measure outcomes.
Communicate complex analytical findings in clear actionable terms.
Required Qualifications
Strongproficiencyin Python and ML libraries (scikitlearnXGBoost TensorFlow/PyTorch).
Handson experience with healthcare claims datasets and coding systems.
Solid understanding of statistical modeling machine learningalgorithms and data mining techniques.
Strong knowledge andexpertiseworking with SQL.
Ability to translate business needs into analytical solutions.
Must havedemonstratedthe ability to solve complex problems with minimal direction.
Preferred Qualifications
Experience with NLP applied to clinical notes or unstructured healthcare data.
Familiarity with actuarial concepts risk scoring or valuebased care models.
Familiarity deploying models into production (MLOps CI/CD).
Background in health economics epidemiology or biostatistics.
Priorworkwith FHIR HL7 or interoperability standards.
SmartLightAnalytics was formed by a group of industry insiders who wanted to make a meaningful impact on the rising cost of healthcare. With this end in mindSmartLightcombats fraud waste and abuse in healthcare through our proprietary data analysisand 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.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Harness the power of your healthcare data Solutions to lower healthcare costs without interrupting benefits Learn More DATA LEADS THE WAY SmartLight Analytics provides independent, ongoing monitoring of your employee healthcare claims data to find and remove wasteful spend from your h ... View more
