Why This Role Stands Out
You can drive impactful national security solutions as a Data Scientist at Leidos, leveraging your expertise in machine learning and Python within a hybrid work environment. This role offers significant career growth and the chance to develop your skills in cutting-edge technologies, supported by competitive compensation and excellent benefits. Apply to join a dynamic team making a real difference.
Quick Overview
Job Description
Data Scientist | Springfield, VA, United States | Hybrid | $107,900.00 - $195,050.00
This employer is a leader in industry and technology, known for delivering innovative digital and mission solutions to government and commercial clients. They are seeking a Data Scientist with an entrepreneurial spirit to join a dynamic and growing team focused on critically important national security projects. The company boasts a strong commitment to employee growth and offers a comprehensive benefits package.
The Role
- Build statistical and machine learning models, including natural language processing (NLP).
- Develop automated solutions for complex business challenges and process unstructured data.
- Construct and execute complex database queries using SQL and API interfaces.
- Perform web scraping and leverage automation and machine learning for data management and scenario prediction.
- Learn and apply technologies such as AWS and Git.
What You'll Need
- TS/SCI with Polygraph clearance is required.
- BS degree with 8-12 years of relevant experience, or a Master's degree with 6-10 years.
- Proficiency in Python and strong SQL skills for data extraction.
- Experience with supervised and unsupervised learning, and NLP libraries.
- Familiarity with frequentist statistics, probability, predictive modeling, and computer science concepts.
- Proficiency with data visualization tools is required.
What's On Offer
- Competitive compensation package with a wide pay range.
- Comprehensive benefits including Health and Wellness programs, Income Protection, Paid Leave, and Retirement plans.
- Opportunities for technical upskilling, education, and training support.
- Flexible scheduling options to support work-life balance.
Apply via Haystack today!
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