Data Scientist (All Levels)

Insight Xcite
Herndon, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Herndon, United States of America

Tech stack

Agile Methodologies
Data analysis
ETL
Data Visualization
Hadoop
Python
Machine Learning
Power BI
SQL Databases
Tableau
Data Processing
Prompt Engineering
Spark
Matplotlib
Information Technology
Data Management

Job description

Insight Xcite is seeking a Data Scientist to support a government client in Chantilly, VA. You'll apply advanced analytics, machine learning, and datascience techniques to deliver mission-critical insights that directly support national security. This is a hands-on role where you'll transform complex datasets into actionable strategies, working closely with stakeholders to solve problems that matter., Design, develop, and implement machine learning models and algorithms to analyze large, complex datasets. Build visualizations, dashboards, and reports that clearly communicate results to technical and non-technical audiences, with a focus on automated ETL pipelines and self-service analytics. Partner with government stakeholders to identify opportunities for leveraging data to improve mission outcomes. Apply advanced statistical methods, predictive modeling, and exploratory data analysis to solve mission-critical challenges. Provide documentation and technical guidance throughout the project lifecycle. Stay current with emerging tools, techniques, and methodologies in data science.

Requirements

Active TS/SCI with Full-Scope Polygraph (FSP) - non-negotiable. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field. Proven experience as a Data Scientist or in a similar role. Proficiency in Python, R, or SQL. Strong background in statistical modeling, machine learning, and data wrangling. Excellent problem-solving skills with the ability to work both independently and in teams. Strong communication skills, including the ability to explain technical findings to non-technical stakeholders. Preferred Qualifications

Master's or PhD in a quantitative discipline. Experience with big data tools (e.g., Hadoop, Spark) and cloud platforms. Familiarity with complex ETL pipelines. Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Proven ability to leverage GenAI via prompt engineering. Prior consulting or government client experience. Knowledge of Agile methodologies. What We Offer

Benefits & conditions

100% employer-paid medical, dental, and vision insurance Unlimited PTO plus Flex Bonus Program 401(k) with immediate vesting (no match required) Flexible schedules Referral bonuses Professional development support

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