Health Policy Data Scientist

Remote, United States

Logistics Management Institute

With a legacy of solving the government’s most complex challenges and an outcome-driven model to execute above expectation, LMI transforms missions with solutions that define the new speed of possible.

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Overview

LMI is seeking a skilled Health Policy Data Scientist. At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

  

The successful applicant will become part of a team dedicated to policy, operations, and analytical support work for the Department of Health and Human Services (HHS), specifically the Centers for Medicare and Medicaid Services (CMS). A successful candidate will demonstrate competency in data analysis while upholding the highest standard of ethical behavior. 

Responsibilities

  • Analyze data and presenting results to a large general audience   
  • Proactively identify and walk clients through complex data and program operations specific concerns and downstream effects  
  • Visually communicate data to CMS senior leadership on a consistent basis  
  • Discuss policy implications and client needs with software developers to help develop an intuitive management system  
  • Deliver on tight deadlines and effectively communicating with team members when additional support is needed  
  • Commit to supporting cross-functional teamwork  
  • Exemplify an outstanding client service ethic and a desire to consistently improve in an organization that is dedicated to excellence  
  • Learn and apply relevant federal policy and regulations to data analysis  
  • Understand complex and organization-specific datasets  
  • Perform analyses to answer routine and ad hoc questions about program operations, health policy, system functionality and be able to explain the significance of those analyses to non-technical stakeholders  
  • Utilize excellent interpersonal skills to interface directly with clients  
  • Develop and improve standard operating procedures  
  • Communicate with systems development experts to design tools and applications to automate the fulfillment of repeat requests  
  • Demonstrate a strong commitment to excellence 

Qualifications

Required: 

  • Strong Microsoft Office (Excel, PPT) skills required. Applicant may be required to perform demonstration of Excel or analytical skills.  
  • Experience in data analysis, data visualization and reporting.  
  • Experience writing automated processes in Python, R or a similar language.  
  • Superior communication and writing skills on technical subjects. Ability to provide narrative context of data analysis to a non-technical audience.  
  • Ability to absorb large amounts of new technical and policy knowledge without a lot of guidance.  
  • Strong interest in health policy.  
  • Experience producing high quality analytical deliverables with both short-term (i.e., 1 hour) and longer-term (i.e., 1+ months) lead times.  
  • Demonstrated commitment to delivering outstanding products and service that meet or exceed our client’s expectations.  

Desired:  

  • Master’s degree or higher  
  • 3-5 years’ experience in federal consulting.  
  • 3-5 years’ experience in data analysis, data visualization and reporting in client-facing role.  
  • 3-5 years’ experience writing automated processes in Python, R or a similar language.  
  • Experience with Scrum and/or Agile methodology  
  • Experience with audits, compliance, or monitoring.  
  • Experience communicating business requirements to system development experts.  
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Agile Consulting Data analysis Data visualization Excel Python R Scrum

Regions: Remote/Anywhere North America
Country: United States

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