Quick Overview
Salary
$107.9k - $195.1k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Burke, VA, United States
Posted
7 weeks ago
SQLAWSMachine LearningNLPTableauGitHugging FacePythonTensorFlow
Job Description
Data Scientist | Burke, VA, United States | Hybrid | $107,900.00 - $195,050.00
We're hiring on behalf of a leading technology provider that serves government and commercial customers with innovative digital and mission solutions. This organization is known for its cutting-edge work in areas critical to national security and is committed to fostering professional growth and development.
The Role
- Build statistical and machine learning models, including natural language processing (NLP), and develop automated solutions for complex challenges.
- Construct and execute complex database queries using SQL and API interfaces.
- Perform web scraping and techniques for processing unstructured data.
- Leverage automation and machine learning for data management, scenario prediction, and data-driven recommendations.
- Learn and utilize technologies such as AWS and Git.
What You'll Need
- BS degree and 8 – 12 years of relevant experience, or a Master's degree with 6 – 10 years of relevant experience.
- Active TS/SCI clearance with Polygraph is required.
- Strong proficiency in Python and SQL for data extraction from relational databases and APIs.
- Experience with supervised/unsupervised learning, NLP (familiarity with libraries like spaCy, Hugging Face, NLTK, or TensorFlow).
- Solid understanding of frequentist statistics, probability, predictive modeling, computer science concepts, data architecture, and statistical methods.
- Proficiency with data visualization tools (e.g., Tableau, Plotly, Seaborn, Matplotlib).
What's On Offer
- Competitive compensation package.
- Access to technical upskilling, education, and training support.
- Opportunities for professional and personal growth in challenging assignments.
- Comprehensive benefits including paid time off, holidays, and retirement plans.
Apply via Haystack today!
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