Data Scientist
About The Position
Leidos is seeking an experienced Data Scientist in Englewood, CO. This role involves assembling large, complex data sets, building statistical models, performing research on various data sources (including unstructured data), constructing database queries, performing web scraping, optimizing data delivery, automating processes, curating data, designing and automating data pipelines, developing dashboards, leveraging resources for data normalization and prediction, contributing to new analytical tools and enterprise data architecture, collaborating with team members and stakeholders, analyzing data structure and quality, ensuring regulatory compliance, learning emerging technologies, and briefing personnel at all levels. The company culture emphasizes innovation and a fast-paced, mission-driven environment.
Requirements
- US Citizenship
- Active TS/SCI and eligible to obtain a 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. Additional years of experience in lieu of degree are acceptable.
- 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 MS Excel and MS Access for design, development and exploitation of datasets and databases
- Proficiency with programming (e.g. Python, R) 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
Nice To Haves
- Familiarity with non-linear workflows
- Familiarity with TTP development process
- Knowledge of computer science concepts, data architecture, and statistics
- Experience/familiarity with frequentist statistics and probability including predicative modeling
- Experience with Tableau
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 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
- Perform web scraping and apply various techniques for processing unstructured data
- Identify, design, and implement internal process improvements
- Optimize data delivery, and automate manual processes
- Curate and maintain data stored in support of metrics and evaluation
- Design, build, test, maintain, and automate data collection/pipelines
- Develop Dashboards for Data Analytics
- Leverage available resources to normalize and manage data, predict scenarios and make recommendations
- Contribute to building new analytical tools and packages across the enterprise
- Contribute to the design and evolution of the client’s enterprise data architecture, ensuring interoperability, security, and alignment with business goals
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
