Data Scientist: Position 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:
TS-SCI clearance
Bachelor’s degree or equivalent practical experience.
4+ 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)
Required professional and vendor certifications: AWS Certified Developer Associate Preferred Qualifications:
Understanding of version control, testing, and debugging.
Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
Familiarity and experience with the Department of Homeland Security (DHS).
Strong communications skills with the ability to effectively convey technical concepts to various stakeholders and audiences
Master’s degree or equivalent experience in a related field Responsibilities:
Participate in architectural design discussions Help make decisions on changes cloud infrastructure as needed to accommodate changing user requirements Consider cost trade-offs of various cloud environment configurations and contribute to budget discussions Skills:
Data Analytics
Data Visualisation
Jupyter Notebooks
Data Science
Python and R Studio
GitLab Analytical Approach Disruptive Solutions is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation because of age, race, color, national origin, ancestry, religion, sex, sexual orientation (including transgender status, gender identity or expression), pregnancy (including childbirth, lactation, and related medical conditions), reproductive health decisions, marital status, personal appearance, matriculation, political affiliation, credit information, employment status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, status as a victim or family member of a victim of domestic violence, a sexual offense, or stalking, homeless status, or any other status protected by federal, state, or local laws.