Data Science Solutions Lead

Elevance Health

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Grand Prairie, TX
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 $174k
$108k $232k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $139,375–$208,531.

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 · Data Science Solutions Lead

The Data Science Solutions Lead joins the Data Science team to lead the design and development of analytic models, applications, and supporting tools within a big data ecosystem. This role involves designing and implementing insights data pipelines, integrating data from diverse sources, and forming analytics platform components to provide business solutions. You will engage with stakeholders to own end-to-end solutions that empower data-driven decision-making while mentoring consultants on analytical projects. Key technical requirements include experience with Hadoop, Teradata, complex SQL, Python object-oriented programming, and shell scripting. You must also possess skills in data warehouse technologies, relational databases, Agile methodologies, and Cloud platforms like AWS, GCP, or Azure, alongside Docker, Jenkins, and Elastic Kubernetes Service. Proficiency in HDFS, Hive, Sqoop, MapReduce, Impala, and Spark is also required.

What you'll do

  • Lead the design, implementation, and delivery of an insights data pipeline for analytic products.
  • Design and integrate data from various sources to form analytics platform components.
  • Engage with business stakeholders to design and own end-to-end data-driven solutions.
  • Define application scope, objectives, and impact on interfaces for data products.
  • Ensure all data testing is completed and meets specific test plan requirements.
  • Coordinate integration actions to ensure successful implementation of technical solutions.
  • Mentor Data Science consultants and senior leads on analytical projects and pilots.
  • Analyze data sources to develop actionable insights and recommendations for core business areas.

What we're looking for

  • Bachelor’s degree in Computer Science, Mathematics, Engineering, Data Science, or related field.
  • Master’s degree in Computer Science, Mathematics, Engineering, Data Science, or related field with predictive analytics experience.
  • Five years of experience in predictive analytics or a related field.
  • Three years of experience with Hadoop Technologies, Teradata, complex SQL, Python object-oriented programming, and shell scripting.
  • Three years of experience with data warehouse technologies, relational databases, and Agile methodologies.
  • Two years of experience with Cloud (AWS, GCP, or Azure), Elastic Kubernetes Service, Docker, and Jenkins.
  • Two years of experience with Data Science modeling techniques.
  • Two years of experience leveraging at least 4 of the following: HDFS, Hive, Sqoop, MapReduce, Impala, or Spark.

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