Junior Data Scientist (NASA) at Logistics Management Institute in Washington, Washington DC

Posted in Other 19 days ago.

Job Description:

Junior Data Scientist (NASA)

Job Locations

US-DC-Washington, DC

Job ID
# of Openings


LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers' unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.

LMI has an immediate need for a Junior Data Scientistto work with our client inWashington, DC (Remote applicants welcomed!). The ideal candidate will have strong data science expertise and can review human capital related information. We are looking for someone to be able to tell a story about what the Human Capital/HR information means.


The Junior Data Scientistwill:

    Have a strong data science foundation with mentorship to NLP and machine learning projects
  • Serve as an advisor to our NASA customer while leading development of analytics products

  • Demonstrate the ability to frame and scale data problems to analyze, visualize, and find data solutions.

  • Manipulate common data formats, including comma-delimited, text files, and JSON.

  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available tools.

  • Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to client research questions.

  • Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.

  • Develop performance metrics, conduct statistical analyses, and apply decision models to support business process, hiring, staffing and talent management understanding

  • Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools

  • Gather analytic requirements to provide clear and concise solutions

  • Perform HR data collection and a variety of statistical analyses using Microsoft Excel and SAS software

  • Conduct extensive quality control and record keeping procedures to ensure the highest levels of data integrity

  • Research data and develop program review materials

  • Research best practices procedures pertaining to performance metrics and performance standards


  • Bachelor's Degree (Master's preferred) in a STEM or social science realted field including coursework in basic statistics and measurement is required

  • 1-3 years of related data science or technical consulting experience

  • Experience working with cloud resources (AWS, GCP), and data pipelining with Alteryx, and Data Science

  • Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn)

  • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.jsto communicate findings and relate them back to how your insights create business impact

  • Minimum of 1 year performing data analysis and/or creating and applying HR performance metrics is desired

  • Experience analyzing data from large datasets using geospatial and/or statistical analysis tools

  • Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections

  • Excellent communication skills and proven ability to work with business customers and technical teams

  • Preferred experience in the following areas:

    • Experience with Human Capital Data Analytics andability to synthesize HR/Staffing data to create meaningful information that supports decision-making

    • Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics

    • Unstructured text and natural language processing

    • R, Python, SAS, or MATLAB

    • Talent Acquisition metrics and analyses: Job Evaluation, Recruitment, Retention, Pathways, Staffing, work backlog metrics

    • Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets

    • Supervising algorithm implementation in on-premise and cloud-based computing environments

    • Developing software to generate reports and visualizations that summarize data sets and provide data-driven insights

    • Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions


LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, age, national origin, disability, veteran status, or any other factors protected by applicable law.

Need help finding the right job?

We can recommend jobs specifically for you!

Click here to get started.