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Junior Data Scientist - Clearance Required
  • Python
  • Spark
  • SQL
  • NLP
  • NoSQL
Logistics Management Institute
Fort Belvoir, VA 22060
145 days ago

Here at LMI we’re not just a highly ambitious consulting and analytics company. We’re a highly ambitious, consulting and analytics company with a soul. Our vision is to power a future-ready, customer centered government through digital analytics.

LMI is a private government consulting firm, dedicated exclusively to advancing the management of the government. Founded in 1961 as a not-for-profit company, we deliver the best value for the government dollar as all revenues are directed to our mission of advancing government rather than to delivering shareholder value. We operate completely free of political and commercial bias, and we are entirely aligned with the goals of our clients. Our clients value our specialized services in logistics, intelligence, homeland security, health care, and energy and environment markets. We believe government can make a difference, and we seek talented, hardworking people who share that conviction.

We offer a generous compensation package with excellent benefits that start the first day of employment. Business casual dress, flex time, and tuition reimbursement are a few of our many work-life benefits available to our employees.

Responsibilities:Required skills and experience:
Fluency in Python 3+Experience with unstructured data typesExperience applying NLP (ex. context matching, entity extraction, entity resolution, recommendation systems, text/doc similarity)
  • Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
  • 1 to 3 years of experience working directly on a data science team developing AI/ML enabled products
  • This position requires an active security clearance at the SECRET level. You must be a US citizen.
  • Experience with graph data structures and applications (ex: Spark GraphFrames, Neo4j)
  • Experience with NoSQL/document based stores and data structures (ex. MongoDB, JSON)
  • Experience with Spark
  • Experience with MLflow
  • Experience building lightweight web applications/interactive visuals (ex. Plotly Dash, R Shiny)

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