Data Scientist

Cohere Health; United States; Presencial; USD 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical Insurance

Dental Insurance

Vision Insurance

Life & Disability Insurance

Flexible Time Off & Holidays

401(K) Retirement Plan with Employer 匹

Resumo da oferta

Cohere Health is seeking a data analytics professional to gather requirements, analyze healthcare claims and EMR data, and build models and dashboards to drive clinical and operational insights.

You will deploy LLMs and ML models, develop scalable data pipelines with AWS Airflow, PySpark, and Tableau visualizations, partnering with product teams to integrate data science into business workflows.

Qualificações

• Master’s degree in data science or related field; foreign degree accepted.
• 3 years of experience as Analyst or related position analyzing datasets.
• Experience with healthcare datasets and analytics is a plus.

Responsabilidades

• Gather business requirements and apply trend analysis to identify actionable insights using analytic tools.
• Analyze healthcare claims and authorization data to identify outliers, interpret patterns, and assess trends and opportunities.
• Apply LLMs, stochastic optimization methods, and related technologies to support decision‑making.
• Monitor industry trends, regulatory changes, and emerging fraud schemes to support detection strategy development.
• Train, fine‑tune, and implement LLMs and deep learning models for anomaly detection and classification.
• Build visualizations and dashboards to communicate analytical findings and support business workflows.
• Develop NLP, LLMs (extractive and generative), fine‑tuning, and LLM model development.

Conhecimentos

Data analysis

Trend analysis

Visualization

Communication

Formação académica

Master’s degree in Data Science or related field

Ferramentas

Python

PySpark

SQL

Tableau

Airflow

AWS S3

Sagemaker

Spark

Descrição da oferta de emprego

• Gather business requirements and apply trend analysis to identify actionable insights using analytic tools. Analyze healthcare claims and authorization data to identify outliers, interpret patterns, and assess trends and opportunities. Apply large language models (LLMs), stochastic optimization methods, and related technologies to support decision‑making
• Monitor industry trends, regulatory changes, and emerging fraud schemes to support detection strategy development, maintain methodology documentation, and present findings to leadership. Train, fine‑tune, and implement LLMs and deep learning models for tasks such as anomaly detection, classification, and automated analysis of security‑related or operational data
• Analyze datasets to assess expected impacts and return on investment, including effects on medical expense, administrative cost, and clinical outcomes. Develop data models, algorithms, and simulations to support analytical objectives. Build visualizations and dashboards to communicate analytical findings and support business workflows
• Analyzing healthcare datasets, including EMR/EHR data, medical and pharmacy claims data, and Social Determinants of Health (SDoH) data
• Performing data quality analysis to identify data quality issues, gaps, or inconsistencies
• Building scalable AWS Airflow pipelines to ingest, integrate, and transform terabytes of data using Python and PySpark and AWS S3 storage, and accelerate business decision‑making in AWS Sagemaker
• Utilizing trend identification and data analysis methods such as regression analysis and outlier detection model in python, spark and sql.
• Building and implementing models, creating algorithms, and running simulations
• Developing Tableau visualization and partnering with product owners and stakeholders to drive enterprise‑level solutions that integrate data science into business workflows
• Developing NLP, LLMs (extractive and generative), fine‑tuning, and LLM model development

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Life & Disability Insurance
• Flexible Time Off & Holidays
• 401(K) Retirement Plan with Employer Match Program
• Wellness Coach App
• Parental Leave
• Learning & Development Opportunities

Must have a Master’s degree in Data Science, Statistics, Biostatistics or related field (willing to accept foreign education equivalent) and 36 months of experience as Analyst or related position analyzing datasetsMust possess three (3) years of experience (may be gained concurrently with above experience)