Quick Overview
Salary
$107.9k - $195.1k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Dunn Loring, VA, United States
Posted
4 weeks ago
SQLAWSMachine LearningNLPTableauGitHugging FacePythonTensorFlow
Job Description
Data Scientist | Dunn Loring, VA | Hybrid | $107,900.00 - $195,050.00
This employer is a leading technology company that provides innovative solutions for government and commercial clients. They are recognized for their commitment to digital transformation and their sophisticated analytical capabilities. They are seeking a driven Data Scientist to join a dynamic and growing team focused on National Security projects.
The Role
- Develop statistical and machine learning models, including natural language processing (NLP), to address complex business challenges.
- Construct and execute advanced database queries using SQL and API interfaces across various data sources.
- Implement web scraping techniques and data processing methods for unstructured data.
- Utilize automation and machine learning to manage data, predict future scenarios, and provide data-driven recommendations.
- Engage with technologies such as AWS and Git in a collaborative environment.
What You'll Need
- Bachelor's degree and 8-12 years of relevant experience, or a Master's degree with 6-10 years of experience.
- Required TS/SCI clearance with Polygraph.
- Proficiency in Python and strong SQL skills for data extraction from relational databases and APIs.
- Experience with supervised/unsupervised learning and NLP, including 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.
- Experience with data visualization tools (e.g., Tableau, Plotly, Seaborn, Matplotlib).
What's On Offer
- Competitive salary and benefits package, including 401K with company match.
- Opportunities for technical upskilling and educational support.
- Flexible scheduling options to support work-life balance.
- A chance to work on critical projects with significant impact.
Apply via Haystack today!
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