Data Scientist I
Core
Design and validate predictive models, machine learning, and AI to improve business processes across operational, clinical, financial, and marketing domains.
Role type
Junior IC data scientist (predictive modeling & NLP)
Builds
End-to-end model pipelines and visualizations for business consumption
Domain
Healthcare analytics, predictive modeling, NLP
Deliverable
production ML models
Required skills
SQL, Python or R, statistical analysis (A/B testing, significance testing), predictive modeling (GLMs, decision trees), unsupervised learning, deep learning (neural networks, transformers), NLP (tokenization, embeddings, LLMs), feature engineering, exploratory data analysis
Preferred skills
Cloud services (Azure, AWS, GCP), modern data stack (Databricks, Snowflake), Power BI/dashboards
Technologies
Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, R, SQL
Responsibilities
Create and maintain analytical plans for data science projects; mine and analyze large structured and unstructured datasets; develop algorithms for risk prediction and outlier detection; support statistical validation of clinical programs; collaborate on integrating solutions; prepare code for operationalization of model pipelines; research emerging technologies
Seniority
Junior, hands-on IC