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Senior Data Scientist
1 week ago
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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