Data Scientist I at Falconwood, Inc.

Suffolk, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Jan, 26

Salary

115000.0

Posted On

11 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Statistical Analysis, Data Visualization, Machine Learning, SQL, Python, R, Power BI, Tableau, Data Profiling, Data Cleaning, Data Transformation, ETL Pipelines, Critical Thinking, Problem Solving, Communication Skills

Industry

Defense and Space Manufacturing

Description

Overview Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Scientist I will be responsible for supporting data-driven analysis and decision-making tools for the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, particularly within the Command Data Office (CDO). Responsibilities This entry-level data science role supports the development of analytical tools and workflows that power mission decision-making across the Navy Information Warfare enterprise. The candidate will perform data mining, statistical analysis, and visualization to deliver operational insights aligned with NAVIFOR’s data strategy. This is a hybrid position based in Suffolk, VA, with limited travel anticipated. Responsibilities: Perform analysis and modeling of large, complex data sets to identify patterns, trends, and actionable insights Support the development of dashboards, data visualizations, and reporting tools using modern BI platforms Assist in the integration of structured and unstructured data sources to support analytics workflows Conduct data profiling, cleaning, transformation, and normalization activities Apply machine learning and statistical analysis techniques to support mission-aligned use cases Support the development of Extract, Transform, Load (ETL) pipelines and data structures for reporting Collaborate with engineering and analytics teams to turn analytical insights into production-ready tools Contribute to the implementation of the NAVIFOR data strategy across enterprise platforms Qualifications Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum 3 years of experience in data analytics, data engineering, databases, visualization, and applied coding Clearance: Active Secret Clearance required Technical Skills: Familiarity with general-purpose analytics tools and platforms (e.g., Python, R, Power BI, Tableau) Hands-on experience with SQL databases and data prep pipelines Experience with Jupyter, Jama, or related Navy tools preferred The Candidate must be: Must be technically savvy and possess excellent communication skills Must have effective critical thinking and problem-solving skills Must be self-motivated and able to deliver with minimal supervision Proficient in Microsoft Word, Excel, PowerPoint, and Outlook This position is fast paced and high demand that is a hybrid position (onsite and remote) in Suffolk, VA. Limited to no travel is anticipated. Pay Range Base pay is $105,000–$115,000, subject to skill level, qualifications, and location. Benefits Highlights 401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!

Responsibilities

The Data Scientist I will support the development of analytical tools and workflows for decision-making within the Navy Information Warfare enterprise. Responsibilities include performing data analysis, developing dashboards, and collaborating with engineering teams.