Data Scientist Senior

Elevance Health

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Salary: $169,541–$170,541 / yr
Posted: 1 day ago
Closes: Jul 15, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k

This role $170k

$89k most similar roles pay here $222k

This role pays more than 69% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $170k versus about $154k 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 31 open roles on FindRole.

Listed pay typically runs $139,744–$198,132 across 5 roles with salary data.

Most-posted roles

View all roles at Elevance Health

At a glance

TL;DR · Data Scientist Senior

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The Senior Data Scientist role at Pulse Point involves leading predictive modeling projects to solve complex business challenges, working closely with business partners to drive actionable insights. Day-to-day responsibilities include processing large data streams in distributed computing environments like Hadoop, recommending model scoring strategies, and developing advanced visualizations for analysis outputs. The ideal candidate will have extensive experience with Python, SQL, and tools such as Tableau and Apache Spark, along with a strong background in predictive analytics and cloud platforms like AWS. This position requires five years of hands-on experience in predictive models including time series and machine learning techniques, and three years of leading full-cycle data science projects. The role is part of the RDA Data Science team at Pulse Point, focusing on optimizing member experiences through innovative solutions.

Skills

Python SQL Apache Hadoop Apache Spark Tableau AWS Time Series Models Linear Regression Logistic Regression Random Forest CI/CD

What you'll do

Design and lead predictive modeling projects to solve complex business problems.
Process massive data-streams in distributed computing environments like Hadoop.
Develop proprietary algorithms for customized solutions beyond standard tools.
Create advanced visualizations of analysis output for business users.
Mentor Data Scientists and collaborate with business partners on projects.

What we're looking for

Five years of experience in predictive analytics and product/financial analysis.
Proficient in Python, SQL, and various predictive models like time series, linear regression, logistic regression, and random forest.
Three years of hands-on experience leading end-to-end data science project implementation.
Expertise in visualization tools such as Tableau and big data technologies including Apache Hadoop and Spark.
Strong background in cloud platforms with at least three years of AWS experience.
Ability to collaborate effectively with business partners and mentor junior Data Scientists.

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