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Data Scientist
| Company | Leidos |
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| Location | McLean, VA, USA |
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| Salary | $104650 – $189175 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Must currently possess an active TS/SCI w/Poly clearance
- Bachelor of Science Degree in Data Science, Computer Science, Mathematics, Statistics or other relevant technical program, with 8+ years of experience (or 5 additional years of experience in lieu of degree)
- Skilled in data extraction and analysis from COTS products
- Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
- Experience constructing and performing complex database search queries
- Experience establishing/developing data pipelines and normalizing data
- Proficiency with programming (e.g. Python, R, SQL) and machine learning toolkits
- Advanced problem-solving skills for unstructured datasets
- Capable of presenting technical information effectively to both technical and non-technical audiences
- Strong organizational, time management, and omnidirectional communication abilities
- Technical writing and critical reading
- Experience producing executive-level products
- Ability to work efficiently on small, distributed teams
Responsibilities
- Assemble large, complex sets of data to meet functional and other requirements
- Build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
- Build large language models to create classification algorithms, assess semantic similarity, and create summarization tools
- Build requisite infrastructure for optimal extraction, transformation and loading of data from various sources
- Perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics
- Construct and perform complex database search queries in multiple databases using SQL and API interfaces
- Curate and maintain data stored in support of metrics and evaluation
- Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
- Contribute to building new analytical tools and packages across the enterprise
- Collaborate with team members in a highly technical environment
- Collaborate with multiple stakeholders to drive data integration initiatives and foster a data-driven culture
- Analyze current data structure, tagging, and quality standards to discover and address anomalies
- Analyze current practices to ensure compliance with relevant regulations and contract requirements
- Learn and leverage emerging technologies as they become available/accepted within the customer environment
- Brief and interact with personnel at all levels of experience, including Senior Officials
Preferred Qualifications
- Knowledge of computer science concepts, data architecture, and statistics
- Experience/familiarity with frequentist statistics and probability including predictive modeling
- Familiarity with Intelligence Community organizations and data
