Quick Overview
Salary
$107.9k - $195.1k/yr
Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior
Job Description
Data Scientist | Arlington, VA | Hybrid | $107,900.00 - $195,050.00
We're hiring on behalf of a leading technology organization that provides innovative digital and mission solutions to government and commercial clients. This employer is at the forefront of advanced analytics, excelling in areas like Security Engineering, Computer Network Operations, and Signals Intelligence. They foster a culture that challenges its staff with engaging assignments, promoting both professional and personal growth.
The Role
• Build statistical and machine learning models, including natural language processing (NLP), to solve complex business challenges.
• Develop automated solutions and leverage machine learning for data management and scenario prediction.
• Construct and execute complex database queries using SQL and API interfaces across multiple databases.
• Perform web scraping and apply various techniques for processing unstructured data.
• Learn and utilize technologies such as AWS and Git.
What You'll Need
• Must possess a TS/SCI clearance with Polygraph.
• Bachelor's degree with 8-12 years of prior relevant experience, or Master's degree with 6-10 years of relevant experience.
• Proficiency in Python and strong SQL skills for data extraction.
• Experience with supervised and unsupervised learning, natural language processing (NLP), and NLP libraries (e.g., spaCy, Hugging Face).
• Solid understanding of frequentist statistics, probability, predictive modeling, and computer science concepts.
• Proficiency with data visualization tools (e.g., Tableau, Plotly, Seaborn).
What's On Offer
• Competitive benefits package including Paid Time Off and 11 paid Holidays.
• 401K with a 6% company match and immediate vesting.
• Flexible work schedules and opportunities for technical upskilling and education support.
• Parental Paid Leave.
Apply via Haystack today!
Skills
SQL
AWS
Machine Learning
NLP
Tableau
Git
Hugging Face
Python
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