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Data Scientist

3 months ago

Washington, United States Precision Solutions Full time

Overview:
**Data Scientist**

Hybrid | Washington D.C. | 3-4 Days a Week Onsite

Active TS/SCI Clearance Required

**Summary**

Our client is an employee and Service-Disabled, Veteran-owned Small Business focused on providing niche technical services. They are a team of experienced cybersecurity professionals with a track record of success in the Federal, Commercial, and Academic workspaces. Additionally, our client designs, builds, operates, and secures scalable cloud and IT infrastructures to meet their customers’ near-term needs and fulfill their long-term requirements.

**Responsibilities**

Our client is looking for a Data Scientist to join their team 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.
- Participate in architectural design discussions
- Help make decisions on changes to the cloud infrastructure as needed to accommodate changing user requirements
- Consider cost trade-offs of various cloud environment configurations and contribute to budget discussions

**Requirements**:

- 4+ 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, Data Visualization
- Strong proficiency in programming languages such as Python
- Agile development experience along with related technologies (e.g., Jira)
- Experience with the following is required:

- Data Analytics
- Data Visualisation
- Jupyter Notebooks
- Data Science
- Python and R Studio
- GitLab Analytical Approach

**Preferred Requirements**
- 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 communication skills with the ability to effectively convey technical concepts to various stakeholders and audiences
- A Master’s degree or equivalent experience in a related field is preferred

**Education/Certification Requirements**
- A Bachelor’s degree or equivalent practical experience is required

**Clearance Requirements**

**Other Duties**

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.**About Us**

Northern Virginia-based Precision Solutions is an expert in staffing solutions for companies of any size that open the door to new opportunities and seek outstanding talent. We pride ourselves on being versatile enough to tailor our relationships to the needs of each individual client, being agile in the fast-paced marketplace, and being precise in meeting the needs of any company.

**Equal Opportunity Employer Statement**

Precision Solutions is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.