Data Scientist – HC Analytics

Overview

Responsible for working with other Data Scientists, business analysts, and business users to lead and fully understand their needs for data science solutions; work with a variety of data sources, both internal and external, big, and small, in structured and unstructured formats, to build analytic models utilizing machine learning techniques; partner with the IT groups to ensure that the data is sourced from the right location for data science model building;

participate in the development of project deliverables, especially documentation, for data science deliverables; interact with data engineers, business analysts and others to solve analytical problems and develop cutting edge solutions to business problems; extracting, transforming, and analyzing data using a variety of common analytical tools and statistical techniques; present findings in a compelling manner to both a business and non-technical audiences;

leverage appropriate data science techniques to create actionable insights from data; develop ETL pipelines for model training, evaluation, and deployment; develop and code data science programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources; use business acumen to interpret and communicate insights and findings from analysis and experiments for a multi-department audience; access data from internal databases and sources, including warehoused and pre-modeled data;

stays current on data science and analytics tools, techniques, and practices; work on an Agile (Scrum) team; utilize and apply knowledge of Large Language Models (LLM), Generative AI, Data Visualization, SQL, Tableau, Advanced Excel, Python, Machine Learning, Power

BI, R, and Claims Data to perform assigned duties; and write clean, reliable, and testable code that supports rapid delivery via CICD and automated deployments.

Location:

Detroit, Michigan, and multiple undetermined worksites throughout the US.

Salary: $95,000 per year

Education:

Master’s Degree in Computer Science, Computer Engineering, Computer and Information Science, Business Analytics, Data Science, Public Health, or in a related field of study (will accept equivalent foreign degree);
Training:
None;

Experience:

Three (3) years in the position above, as a Senior Data Scientist, as a Quality Informatics Specialist, as a Research Administrator, as a Senior Research Fellow, as a Management Analyst II, or in a related occupation;
Other Requirements:
Experience must have included one (1) year use of all the following:
Large Language Models (LLM), Generative AI, Data Visualization, SQL, Tableau, Advanced Excel, Python, Machine Learning, Power

BI, R, and Claims Data;
Will also accept any suitable combination of education, training and/or experience.

Additional Information

• Organization:
  Corporate Services
• Shift: Day Job
• Union Code:
  Not Applicable

This posting represents the major duties, responsibilities, and authorities of this job, and is not intended to be a complete list of all tasks and functions. It should be understood, therefore, that incumbents may be asked to perform job-related duties beyond those explicitly described above.

• Lead and collaborate with data scientists, business analysts, and business users to understand needs for data science solutions.
• Work with diverse data sources (internal and external, big and small, structured and unstructured) to build analytic models using machine learning techniques.
• Partner with IT to ensure data is sourced from appropriate locations for model building.
• Develop project deliverables and maintain documentation for data science initiatives.
• Interact with data engineers, business analysts, and others to solve analytical problems and deliver cutting-edge solutions.
• Extract, transform, and analyze data using common analytical tools and statistical techniques.
• Present findings to business and non-technical audiences; translate insights into actionable recommendations.
• Develop ETL pipelines for model training, evaluation, and deployment.
• Write data science programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple sources.
• interpret and communicate insights from analysis and experiments for a multi-department audience.
• Access data from internal databases and sources, including warehoused and pre-modeled data.
• Stay current on data science and analytics tools, techniques, and practices; work on an Agile (Scrum) team.
• Apply knowledge of LLMs, Generative AI, Data Visualization, SQL, Tableau, Advanced Excel, Python, Machine Learning, Power
  
  BI, R, and Claims Data in duties.
• Write clean, reliable, and testable code that supports rapid delivery via CICD and automated deployments.

• Location:
  
  Detroit, Michigan, and multiple undetermined worksites throughout the US.
• Salary: $95,000 per year.
• Education:
  
  Master’s Degree in Computer Science, Computer Engineering, Computer and Information Science, Business Analytics, Data…