Data Scientist

VTG

McLean (VA)

Hybride

USD 100 000 - 130 000

Plein temps

14 jours+

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Résumé du poste

A leading defense contractor is seeking a highly analytical Data Scientist in McLean, Virginia. The role requires at least 5 years of experience in statistical analysis and machine learning, with proficiency in Python or R. Key responsibilities include analyzing complex datasets, developing machine learning models, and collaborating with stakeholders to convey insights. Candidates must possess an active TS/SCI with Polygraph and a relevant degree. This position offers opportunities to stay current with emerging data science techniques and technologies.

Qualifications

  • 5+ years of experience in data science or a related field.
  • Active TS/SCI with Polygraph is required.
  • Strong proficiency in programming languages such as Python or R.

Responsabilités

  • Analyze large, complex datasets to identify trends.
  • Develop, train, and validate machine learning models.
  • Collaborate with engineers to ensure data quality.

Connaissances

Statistical analysis
Machine learning
Data modeling
Python
R
SQL
Data visualization

Formation

Bachelor’s or Master’s degree in Data Science or related field
PhD preferred

Outils

Scikit-learn
TensorFlow
Power BI
Tableau
AWS
Azure
GCP

Description du poste

Overview

We are seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights.

What will you do?
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights
  • Develop, train, and validate machine learning and statistical models
  • Design and implement experiments, including A/B testing and predictive analytics
  • Collaborate with data engineers and analysts to ensure data quality and accessibility
  • Communicate findings and recommendations to technical and non-technical stakeholders
  • Build data visualizations and dashboards to present insights effectively
  • Deploy and monitor machine learning models in production environmentsContinuously improve model performance and accuracy
  • Stay current with emerging data science techniques, tools, and technologies
Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
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