Principal Data Scientist

Elevance Health

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Winston-Salem, NC
Employment
Full-time
Posted
16 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $185k
$118k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $155,037–$214,500.

Based on 240 similar postings.

Employer

About Elevance Health

Elevance Health (formerly Anthem, Inc.) is a leading American managed healthcare company and the largest for-profit entity in the Blue Cross Blue Shield Association, serving approximately 115 million people through health plans and Carelon services.

Elevance Health currently has 21 open roles on FindRole.

Listed pay typically runs $165,693–$166,693 across 7 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist

The Principal Data Scientist joins the Data Science team to lead the development and implementation of predictive modeling algorithms designed to solve business problems and optimize member experiences. This role involves serving as a methodology expert, coaching junior team members, and designing end-to-end predictive modeling projects. Key responsibilities include piping massive data-streams in distributed computing environments, leading batch and real-time model scoring, and developing proprietary algorithms for customized solutions. The position requires proficiency in Python, Apache Spark, PostgreSQL, and advanced SQL, alongside experience with Hadoop, Hive, and AWS. Candidates must demonstrate skills in scikit-learn, XGBoost, PyTorch, and Git for version control. The work involves analyzing electronic medical records, claims, and health coverage eligibility data to identify patterns related to quality, use, and cost.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Lead the development and implementation of predictive modeling algorithms to solve business problems.
  • Serve as the methodology expert by providing guidelines for applying appropriate algorithms to data challenges.
  • Design and execute predictive modeling projects in consultation with business partners.
  • Process massive data streams in distributed computing environments like Hadoop for analysis.
  • Lead batch and real-time model scoring to drive actionable business results.
  • Develop proprietary predictive modeling algorithms to create customized, innovative solutions.
  • Coach junior team members on various data science techniques and methodologies.
  • Identify population segments and develop actionable plans to identify patterns related to quality and cost.

What we're looking for

  • Bachelor's degree in a quantitative discipline and predictive analytics experience.
  • Master's degree in a quantitative discipline and predictive analytics experience.
  • Experience in end-to-end predictive modeling, large-scale data preparation, and ETL using Python, PySpark, PostgreSQL, and advanced SQL.
  • Proficiency in OS-level development, dependency management, and ML pipeline setup using Linux, Anaconda, and Airflow.
  • Experience with distributed ETL and processing for massive datasets using Hadoop and Hive.
  • Experience with AWS for enterprise cloud data access, storage, and compute for analytics and model execution.
  • Expertise in supervised ML development using scikit-learn and XGBoost, and deep learning using PyTorch.
  • Experience with statistical modeling, hypothesis testing, and analyses leveraging electronic medical records and claims data.

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