Data Scientist

M9 SolutionsBethesda, MD
12d$60,000 - $180,000

About The Position

M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations who desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include digital transformation, software development, cloud migration, applications & infrastructure, cybersecurity, data delivery & analytics, and IT talent solutions. M9 Solutions is seeking a Data Scientist to work on a government contract for a client located in Bethesda, MD. An active Top Secret clearance is required.

Requirements

  • Top Secret security clearance.
  • Bachelor's degree or equivalent practical experience.
  • 4 - 6+ years of experience in computer science, data science, and data analytics.
  • Experience executing data science methods using Python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, and Data Visualization.
  • Strong proficiency in programming languages such as Python.
  • Agile development experience along with related technologies (e.g., Jira).
  • Strong communication and interpersonal skills.

Responsibilities

  • Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts.
  • Design and deliver infographics across a range of media platforms.
  • Identify and process raw data, trends, analysis, and assessments in order to aggregate disparate information, leveraging both analytic and visualization tools.
  • Leverage knowledge of databases and methodologies to determine appropriate sources, determine indicators and relationships, and generate intelligence support packages.
  • Provide tailored communications to innovation stakeholders in meetings, demos, and other client engagements, as well as support analytic innovation, development, and data analytics activities for the client and stakeholders.
  • Brief the client on assessments and prepare briefings based on finished analysis, including preparing daily briefings for senior policy and operational decision makers.
  • Develop machine learning models with attention to model accuracy.
  • Draft technical methodologies and participate in architectural reviews.
  • Document processes and solutions that serve as communication findings for both technical and non-technical stakeholders.
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