LMI

Data Scientist (Mid-Level) - Clearance Required

Job Locations US-VA-Fort Belvoir
Posted Date 4 weeks ago(7/8/2020 10:48 AM)
Job ID
2020-5190
# of Openings
1

Overview

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 consultancy dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services. Established as a private, not-for-profit organization in 1961, LMI is a trusted third party to federal civilian and defense agencies, free of commercial and political bias. 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 types

Experience applying NLP (ex. context matching, entity extraction, entity resolution, recommendation systems, text/doc similarity)

Experience with graph data structures and applications (ex: Spark GraphFrames, Neo4j)

Experience with NoSQL/document based stores and data structures (ex. MongoDB, JSON)

Qualifications

MINIMUM QUALIFICATIONS:

  • Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
  • 4 to 6 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.

DESIRED SKILLS

  • Experience building models that utilize Deep/Reinforcement learning

    Experience with MLflow

    Experience with Spark

  • 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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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.

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