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Data Scientist
Absolute Business Solutions Corp
Herndon, USA
Full-time
Entry · 2+ years experience
Onsite
USD 80000-250000 yearly / year
Discovered 1 weeks ago
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Location
- Springfield, VA
- Absolute Business Solutions Corp (ABSC) is not just another tech company. Were a community of innovators, engineers, analysts and business professionals working together with our customers to tackle the most complex challenges. For more than 20 years weve supported critical DoD, IC and Federal Civilian missions and global, multi-national corporations. We specialize in supporting our clients in the Intelligence, Technology, Defense, AI/ML, and Data Science fields. As we continue to grow at a rapid pace, we are seeking some amazing new professionals to join our team.
- We are actively hiring a TS/SCI-cleared Data Scientist to work closely with our sister company/software Syntasa where youll be leveraging a multitude of big data, ML and statistical methods to help our customers realize the potential of modern data science and data-driven approaches. You will be working from an end-to-end basis by building the data pipelines needed for your models, building/optimizing the models and enabling your data driven outputs to be leveraged by both stakeholders and downstream applications. We work across several public sector and commercial clients, thus allowing your data expertise to help facilitate positive outcomes across a broad range of sectors. This role is 100% on site in Herndon, VA; Springfield, VA; St. Louis, MO; or Aurora, CO with the possibility of hybrid work in the future (requirements driven).
- Clearance Required for this role: TS/SCI eligibility with willingness/ability to obtain CI polygraph.
Requirements
- Bachelors Degree with at least 2 years experience in an analytical role as a data scientist, analyst or machine learning engineer. Will consider years experience in lieu of degree.
- An ability to work with data using SQL and tools for statistical analysis (eg. Python, R)
- Solid knowledge of statistics and probability, with demonstrated experience applying these techniques to commercial use cases such as ML models and A/B tests
- Demonstrated experience of developing, deploying and maintaining ML models and data pipelines within a commercial setting.
- Demonstrated experience of translating business and/or project requirements into insights, models and data products that generated tangible business value.
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