Data Scientist

Leidos•Englewood, CO

5d•Onsite

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, and optimizing data delivery. The Data Scientist will also be responsible for curating and maintaining data, designing and developing data collection pipelines, creating dashboards for data analytics, and contributing to the design and evolution of the client’s enterprise data architecture. Collaboration with team members and stakeholders to foster a data-driven culture, analyze data structure and quality, and ensure compliance with regulations are key aspects of this position. The role requires the ability to learn and leverage emerging technologies and brief personnel at all levels.

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