LMI · 1 week ago

Senior Data Scientist

Tysons Corner, VA

Full-time

Onsite

Senior Level

10+ years exp

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AnalyticsConsulting

Comp. & Benefits

Insider Connection @LMI

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Responsibilities

Frame and scale data problems to analyze, visualize, and find data solutions.

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

Build robust, scalable data pipelines using big data technologies such as Spark to enable predictive and prescriptive modeling.

Develop and deploy modeling capabilities (e.g., simulation, machine learning, statistical forecasting).

Work with the technical lead on solutioning, timelines, and feasibility.

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

Qualification

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Active DoD Secret clearancePythonJavaRMATLABSparkPySparkScikit-learnData architectureData mungingFeature engineeringPredictive analyticsModeling toolsDatabase knowledgeSQLData visualizationDatabase connectionsExperience (10-15 years)CommunicationDoD experienceUnstructured textNatural language processingDatabricksQlikAdvana analytics platformSupply chainMaintenance dataAlgorithm implementationOn-premise computingCloud-based computing

Required

Active DoD Secret clearance

Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline

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

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

Experience developing and deploying modeling tools and capabilities

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

At least 10 – 15 years of experience in the field

Superior communication skills, both oral and written

Preferred

DoD experience preferred

Unstructured text and natural language processing

Experience with Databricks, Qlik, and the Advana analytics platform

Previous experience working with supply chain or maintenance data or processes

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

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