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.