Lead Data Scientist

HCSC (Health Care Service Corporation)

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Richardson, TXChicago, IL
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $177k
$107k $238k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $139,375–$214,500.

Based on 240 similar postings.

Employer

About HCSC (Health Care Service Corporation)

HCSC (Health Care Service Corporation) is the largest customer-owned health insurer in the United States, operating Blue Cross and Blue Shield plans in Illinois, Montana, New Mexico, Oklahoma, and Texas. Industry: Health Insurance

HCSC (Health Care Service Corporation) currently has 35 open roles on FindRole.

Listed pay typically runs $102,000–$184,300 across 12 roles with salary data.

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At a glance

TL;DR · Lead Data Scientist

The Lead Data Scientist provides advanced mathematical and statistical concepts to analyze data and construct solutions for complex business problems. This role involves performing complex statistical analysis on experimental or business data to validate trends, constructing predictive models, algorithms, and probability engines, and designing experiments to generate data for business use. The position requires extracting actionable insights from structured and unstructured data to aid tactical decision making through predictive and prescriptive remodeling. Key technical requirements include proficiency in data analysis using relational-style query languages, machine learning, statistical modeling, data visualization, distributed computing, and a high-level programming language. The work is situated within the healthcare domain, requiring the ability to independently lead complex analytics projects and mentor junior data science staff to solve specific business problems.

What you'll do

  • Perform complex statistical analysis on experimental or business data to quantify trends and patterns.
  • Construct predictive models, algorithms, and probability engines to support product functions and data analysis.
  • Design experiments and methodologies to generate and collect data for business use.
  • Verify the effectiveness of models and algorithms based on real-world results.
  • Aid tactical decision-making by using predictive and prescriptive remodeling.
  • Extract actionable insights by identifying patterns in structured and unstructured data.
  • Lead the delivery of complex analytics or data science projects.
  • Mentor, manage, or lead junior analytics and data science staff.

What we're looking for

  • Bachelor’s degree and 5 years of experience in a quantitative field; OR Actuarial credential/Master’s and 4 years; OR Ph.D. and 2 years; OR 9 years of experience.
  • Proficiency in at least five of the following: data analysis/query languages, machine learning/statistical modeling, data visualization, high-level programming, distributed computing, or healthcare understanding.
  • Demonstrated mastery in at least one of the following: data analysis/query languages, machine learning/statistical modeling, data visualization, high-level programming, distributed computing, or healthcare understanding.
  • A track record of independently delivering or leading the delivery of a complex analytics or data science project.
  • A track record of mentoring, managing, or leading junior analytics or data science staff.
  • Strong learning and growth mindset.
  • Strong interpersonal, verbal and written communication skills.
  • Masters or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience (preferred).

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