Data Scientist

Overview:

Current provider and healthcare directories are often inaccurate, fragmented, burdensome to maintain, rarely support interoperable data exchange or public health reporting, and are overall costly to the health care industry. A potential solution to this deficit is developing a centrally managed single source of truth National Directory of Healthcare (NDH).

LMI is seeking an experienced Data Scientist to support a team building this NDH. This directory will serve as a single source of truth for numerous stakeholders that may include commercial insurance companies, independent researchers, and numerous federal agencies. This position may be remote.

LMI: Innovation at the Pace of Need™

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.

• Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions. 
• Support data analysts and data engineers with the development of robust, scalable data pipelines using big data technologies such as Spark. 
• Develop scalable heuristic-based and machine learning-based approaches to entity resolution across complex datasets. 
• Support the deployment of the entity resolution algorithms into a production pipeline. 
• Support the evaluation, maintenance, and retraining of the entity resolution algorithms in production over time. 
• Assist the development of junior data scientists through technical mentoring, code review, and other assistance. 
• The data scientist will need the ability to work in teams and independently. 

Required: 

• 5 years of experience as a data scientist 
• Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required. 
• Experience working with Python. 
• Experience with data science methods related to data architecture, data munging, data engineering, and feature engineering 

Desired Skills: 

• Master’s degree or higher.