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Data Scientist - TS/SCI with Polygraph Required
Data Scientist - TS/SCI with Polygraph RequiredLMI • Washington, DC, United States
Data Scientist - TS / SCI with Polygraph Required

Data Scientist - TS / SCI with Polygraph Required

LMI • Washington, DC, United States
30+ days ago
Job type
  • Full-time
Job description

Data Scientist - TS / SCI with Polygraph Required

Join to apply for the Data Scientist - TS / SCI with Polygraph Required role at LMI

Data Scientist - TS / SCI with Polygraph Required

Join to apply for the Data Scientist - TS / SCI with Polygraph Required role at LMI

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Overview

LMI is seeking a Data Scientist to support our Intelligence Community client.

Overview

LMI is seeking a Data Scientist to support our Intelligence Community client.

LMI : Innovation at the Pace of Need

At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.

Responsibilities

Responsible for providing analytical support services to aid in planning and executing civilian pay. This includes maintaining key datasets in SQL Server database, providing ad hoc reporting, and developing interactive data visualizations.

  • Collaborate with an integrated team of data analysts, and data engineers, and web developers to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results
  • Understand and analyze complex and organization-specific datasets to aid in planning and executing civilian pay
  • Define and develop techniques to integrate, consolidate, and structure data for analytical use.
  • Support the transformation of businesses process through automation
  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools
  • Provide regular detailed reporting to management and customers
  • Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers

Qualifications

  • Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
  • Minimum 5 years in data analytics or related
  • Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
  • Experience working with programming languages like SQL and python (SQL required, python preferred)
  • Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js
  • Self-starter with the vision to independently identify opportunities for improvement through data analytics.
  • A true team player who maintains a positive attitude in a dynamic environment.
  • Excellent communication skills, written and oral
  • Proven ability to work with business customers and technical teams
  • Highly organized and able to manage multiple projects simultaneously
  • Excellent customer relationship management skills
  • Innovative problem-solving skills and ability to thrive in a fast-paced environment
  • Ability to work on client site in the NCR in Washington, D.C
  • This position requires an active security clearance at the TS / SCI level, polygraph preferred; US citizenship required.
  • Target salary range : $150,000 - $180,000. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and / or certifications.

    The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

    Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    Business Consulting and Services

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    Data Scientist • Washington, DC, United States

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