Senior Data Scientist

1 week ago


Tysons Corner, Virginia, United States LMI Full time

Job Title: Data Scientist at LMI

LMI is a leading company dedicated to Innovation at the Pace of Need™. We are transforming the way insights are turned into results, moving quickly towards new possibilities. With a rich history of federal experience spanning over 60 years, combined with our innovative ecosystem, we focus on delivering value promptly and achieving mission objectives efficiently. By embracing cutting-edge technologies, we ignite the imagination of the brightest talents, drive creative problem-solving, and expand the limits of what is achievable. LMI is driving progress at a rapid pace, empowering our clients to excel in the face of evolving mission requirements.

This job opportunity is part of our Advanced Analytics & AI practice, where you can leverage your inquisitiveness and analytical skills to uncover, interpret, and predict patterns in various data sets for a diverse set of government customers. Your role involves crafting compelling narratives to help clients understand their data insights and how these revelations address their research inquiries.

Responsibilities:

  • Frame and tackle data challenges to analyze, visualize, and devise data-driven solutions.
  • Handle various data formats, such as comma-delimited, text files, and JSON.
  • Construct reliable, scalable data pipelines using advanced technologies like Spark to facilitate predictive and prescriptive modeling.
  • Create and implement modeling tools (e.g., simulation, machine learning, statistical forecasting).
  • Collaborate with the team lead on problem-solving approaches, project timelines, and practicality.
  • Thrive in a dynamic, solution-focused environment that emphasizes client outcomes, analysis, and reporting.

Qualifications:

  • Required:
  • Active DoD Secret clearance
  • Holder of a Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related field with a quantitative focus
  • Proficient in various tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), big data frameworks (Spark or PySpark), and relevant data science libraries (scikit-learn)
  • Skilled in data science methodologies encompassing data architecture, data manipulation, data and feature engineering, and predictive analytics
  • Experience developing and deploying modeling tools and capabilities
  • Familiarity with databases and SQL; additional advantage if able to connect analytic and data visualization products to databases
  • Minimum of 10–15 years of industry experience
  • Excellent communication skills, both verbal and written
  • Desired:
  • Previous experience working on DoD projects
  • Knowledge in unstructured text and natural language processing
  • Familiarity with tools like Databricks, Qlik, and the Advana analytics platform
  • Prior involvement in handling supply chain or maintenance data/processes
  • Experience in overseeing algorithm implementation in on-premise and cloud-based computing setups
  • Proficiency in creating and applying statistical, machine learning, and heuristic techniques to develop descriptive, predictive, and prescriptive analytics, including designing statistical tests for data-driven recommendations and decisions

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