Job Description

As a Data Scientist, you will be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and to develop analytic products tailored to mission user requirements. Strong communication and interpersonal skills are critical in your ability to collaborate with your technical colleagues and building rapport with the customer. Your analytic products should clearly and succinctly distill trends, illuminate latent patterns, and spotlight insights in an easy-to-consume manner for customers to take action on. Qualifications:
Bachelor’s degree or equivalent practical experience.
4 - 6+ years of experience in computer science, data science, data analytics.
Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization.
Strong proficiency in programming languages such as Python.
Agile development experience along with related technologies (e.g., Jira). Preferred Qualifications: Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
Familiarity and experience with the Department of Homeland Security (DHS).
Ability, openness, and eagerness to learn. 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 customer engagements, as well as support analytic innovation, development, and data analytics activities to customers and stakeholders.
Brief customers 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 stakeholder. Role Requirements:
Minimum education requirements: Bachelor’s Degree
Part time or full time: Full Time
Flexibility option: High Co-Location (3-4 days on-site) Skills:
Data Analytics
Data Science
Data Visualization
GitLab
Jupyter Notebooks
Python and R Studio

Job Tags

Full time, Part time,

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