Data Scientist

Chantilly, VA, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Analytical Skill
  • Decision-making
  • Data Modeling
  • Statistical Models
  • A/B Testing
  • Predictive Analytics
  • Collaboration
  • Data Quality
  • Accessibility
  • Dashboard
  • Computer Science
  • Mathematics
  • Data Science
  • Programming Languages
  • Python
  • R
  • Machine Learning (ML)
  • scikit-learn
  • TensorFlow
  • PyTorch
  • Statistics
  • Probability
  • Data Analysis
  • SQL
  • Data Visualization
  • Tableau
  • Microsoft Power BI
  • matplotlib
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud

Summary

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 environments
  • Continuously 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 Google Cloud Platform)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTL806649
  • Position Id: a8be33a4d8abfc973ccd33936fe55898
  • Posted 3 hours ago
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