Logistics Management Institute
Data Scientist - TS/SCI with Polygraph Required
Logistics Management Institute, Washington, District of Columbia, us, 20022
Overview
LMI is seeking a Data Scientist to support our Intelligence Community client.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
LMI offers a generous compensation package with excellent benefits that start the first day of employment. Business casual dress, flexible work schedules, remote and hybrid work opportunities, and tuition reimbursement are a few of our many work-life benefits available to our employees. Come join the organization consistently ranked as a top workplace!
Responsibilities Responsible for providing analytical support services to aid in planning and executing civilian pay. This includes maintaining key datasets in SQL Server database, providing ad hoc reporting, and developing interactive data visualizations.
Collaborate with an integrated team of data analysts, and data engineers, and web developers to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results
Understand and analyze complex and organization-specific datasets to aid in planning and executing civilian pay
Define and develop techniques to integrate, consolidate, and structure data for analytical use.
Support the transformation of businesses process through automation
Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools
Provide regular detailed reporting to management and customers
Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers
Qualifications
Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
Minimum 5 years in data analytics or related
Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
Experience working with programming languages like SQL and python (SQL required, python preferred)
Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js
Self-starter with the vision to independently identify opportunities for improvement through data analytics.
A true team player who maintains a positive attitude in a dynamic environment.
Excellent communication skills, written and oral
Proven ability to work with business customers and technical teams
Highly organized and able to manage multiple projects simultaneously
Excellent customer relationship management skills
Innovative problem-solving skills and ability to thrive in a fast-paced environment
Ability to work on client site in the NCR in Washington, D.C
This position requires an active security clearance at the TS/SCI level, polygraph preferred; US citizenship required.
#LI-SH1
Target salary range: $150,000 - $180,000. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
LMI offers a generous compensation package with excellent benefits that start the first day of employment. Business casual dress, flexible work schedules, remote and hybrid work opportunities, and tuition reimbursement are a few of our many work-life benefits available to our employees. Come join the organization consistently ranked as a top workplace!
Responsibilities Responsible for providing analytical support services to aid in planning and executing civilian pay. This includes maintaining key datasets in SQL Server database, providing ad hoc reporting, and developing interactive data visualizations.
Collaborate with an integrated team of data analysts, and data engineers, and web developers to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results
Understand and analyze complex and organization-specific datasets to aid in planning and executing civilian pay
Define and develop techniques to integrate, consolidate, and structure data for analytical use.
Support the transformation of businesses process through automation
Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools
Provide regular detailed reporting to management and customers
Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers
Qualifications
Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
Minimum 5 years in data analytics or related
Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
Experience working with programming languages like SQL and python (SQL required, python preferred)
Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js
Self-starter with the vision to independently identify opportunities for improvement through data analytics.
A true team player who maintains a positive attitude in a dynamic environment.
Excellent communication skills, written and oral
Proven ability to work with business customers and technical teams
Highly organized and able to manage multiple projects simultaneously
Excellent customer relationship management skills
Innovative problem-solving skills and ability to thrive in a fast-paced environment
Ability to work on client site in the NCR in Washington, D.C
This position requires an active security clearance at the TS/SCI level, polygraph preferred; US citizenship required.
#LI-SH1
Target salary range: $150,000 - $180,000. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.