Senior Data Scientist

Clover Health

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $176,900–$230,000 / yr
Posted: 47 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $203k

$97k most similar roles pay here $244k

This role pays more than 81% of similar roles. Most pay $126,800–$197,133 — the shaded band above. At the midpoint, this role pays about $203k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About Clover Health

Clover Health is a Medicare Advantage insurance company that uses data and technology to improve care quality and outcomes for its members, focusing on chronic disease management and preventive care. Industry: Health Insurance & Healthcare Technology

Clover Health currently has 39 open roles on FindRole.

Most-posted roles

View all roles at Clover Health

At a glance

TL;DR · Senior Data Scientist

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As a Senior Data Scientist at Counterpart Health, you will join the Data Science team to lead large-scale projects from conception to enterprise impact, applying your expertise in probability, statistics, and machine learning tools such as SQL and Python. Your daily responsibilities include developing creative solutions, evaluating trade-offs between out-of-the-box and customized approaches, and implementing scalable, well-tested solutions that enhance patient care through early diagnosis and longitudinal management of chronic conditions. You will also mentor peers, engage with stakeholders across all levels to align data science efforts with business needs, and ensure projects are delivered on time while mitigating risks proactively. This role requires an advanced degree in a quantitative field along with 3-4 years of relevant experience, and you must have a proven track record of using data science to drive enterprise value.

Skills

Python SQL Machine Learning Statistics CI/CD AWS Kubernetes Docker Terraform PostgreSQL Mentoring Code Review Leadership

What you'll do

Lead large-scale projects from conception to enterprise-wide impact.
Develop creative and practical solutions by applying a broad problem-solving toolkit.
Evaluate and optimize trade-offs between out-of-the-box and customized data science solutions.
Implement scalable, robust, and well-tested solutions that enhance business efficiency.
Proactively engage with stakeholders to align data science efforts with business needs.
Mentor peers and improve team-wide technical execution and problem-solving capabilities.

What we're looking for

Advanced degree in a quantitative field (Master’s + 3 years or Ph.D. + 2 years).
Strong foundation in probability, statistics, and machine learning tools.
Experience leading large-scale projects from concept to measurable business impact.
Ability to mentor peers and improve team-wide problem-solving capabilities.
Proven track record of using data science to drive enterprise value.
Comfortable engaging with stakeholders at all levels for alignment on business needs.

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