Data Scientist Senior

Elevance Health

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$169,541–$170,541 / yr
Posted
12 days ago
Closes
Jul 15, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k
This role $170k
$97k most similar roles pay here $233k

This role pays more than 62% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $170k versus about $162k for comparable roles.

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 $139,744–$200,427 across 8 roles with salary data.

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View all roles at Elevance Health

At a glance

TL;DR · Data Scientist Senior

The Senior Data Scientist role at Pulse Point involves leading predictive modeling projects to solve complex business challenges and optimize member experiences. This position requires overseeing the development of advanced algorithms in distributed computing environments like Hadoop, recommending real-time model scoring, and creating customized solutions beyond standard industry tools. Day-to-day responsibilities include processing large data streams, developing visualizations for business users, and collaborating with partners to identify patterns related to quality, cost, and use. The ideal candidate has a background in statistics or computer science and five years of experience in predictive analytics, Python, SQL, and big data tools such as Apache Hadoop and Spark. Additionally, they should have three years of experience leading end-to-end data science projects and using visualization tools like Tableau, along with expertise in cloud platforms like AWS.

What you'll do

  • Design and lead predictive modeling projects to solve complex business issues.
  • Process large data streams in distributed computing environments like Hadoop.
  • Develop customized algorithms for innovative solutions beyond standard tools.
  • Create advanced visualizations of analysis outputs for business users.
  • Mentor Data Scientists and provide guidance on project implementation.

What we're looking for

  • Five years of experience in predictive analytics and product/financial analysis.
  • Proficient in Python, SQL, time series models, linear/logistic regression, and random forests.
  • Three years of hands-on experience leading data science project implementations end-to-end.
  • Expertise with visualization tools like Tableau and big data technologies such as Hadoop and Spark.
  • Strong background in cloud platforms, specifically AWS.
  • Ability to develop and optimize predictive modeling algorithms for complex business challenges.

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