Senior Data Scientist
Leidos, Virginia, MN, United States
Description
Senior Data Scientist
is sought to work closely with client stakeholders to support economic analysis of national importance through application of advanced statistics and data science techniques and technologies. In this position, you will utilize a strong background in statistics, machine learning, generative AI, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs.
Who we are:
Leidos is a Fortune 500 technology, engineering, and science solutions and services leader solving the world’s toughest challenges in the defense, intelligence, civil, and health markets. Leidos Civil Group helps the government modernize operations with AI/ML driven data management and analytics solutions. We are a trusted partner to government and regulated commercial customers in mission IT, security, software, engineering, and operations. We work with customers including the FAA, DOE, DOJ, NASA, National Science Foundation, Transportation Security Administration, Custom and Border Protection, airports, and electric utilities to make the world safer, healthier, and more efficient.
In this role, you will :
Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution.
Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets.
Build transparent, reproducible pipelines and analysis environments in cloud infrastructures.
Produce exhibits and memos that explain methods, limitations, and uncertainty.
Facilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science.
Create compelling data visualizations and reports that convey complex research findings to technical and non-technical stakeholders.
Support defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and client-ready findings.
Design and execute rigorous studies (e.g., difference-in-differences, panel models with fixed/random effects, instrumental variables/2SLS, time series/forecasting) to turn multi-source datasets into documented, auditable results.
Mentor teammates on best practices.
Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects.
Basic Qualifications:
Bachelors degree with 8+ years of applied data science experience or a Master’s degree with 6+ years of prior relevant experience.
Mastery of Python or R, statistical tools such as Stata, SAS, and strong SQL.
Expertise with ML algorithms (e.g., model selection, evaluation, feature engineering).
Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured and unstructured data.
Expertise with data visualization tools (e.g., Tableau, Matplotlib).
Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g., Azure ADLS/Databricks/Azure ML, or equivalents).
Comparative understanding of LLMs (e.g., Claude Code, ChatGPT) and tradeoffs in terms of capabilities, cost, and performance.
Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges.
Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling.
Familiarity with FISMA/NIST/Zero Trust security frameworks.
Current Principal Data Scientist (PDS) Certification.
U.S. Citizenship required.
Preferred Qualifications:
Experience with Spark/Databricks.
PhD preferred in Statistics, Mathematics, or a related quantitative field.
Domain exposure to antitrust, pricing, healthcare claims, fraud/forensics, or financial analysis is a plus.
Experience producing reproducible, peer-reviewed analyses that meet Rule 702/Daubert reliability requirements and can withstand Daubert challenges.
Contribution to open-source projects or participation in relevant data science communities.
About Leidos: Leidos is an industry and technology leader serving government and commercial customers with digital and mission innovations. Headquartered in Reston, Virginia, Leidos has 47,000 global employees and published revenues about $16.7 billion for the fiscal year ended January 3, 2025.
Pay Range
Pay Range $107,900.00 - $195,050.00. The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors in offers include responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity and market data.
Securing Your Data
Beware of fake employment opportunities using Leidos’ name. Leidos will never ask for payment-related information during the application process, nor will we advance money as part of hiring. Leidos will only communicate through emails generated by the Leidos.com automated system. If you receive a suspicious email, contact LeidosCareersFraud@leidos.com.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, disability, or any other basis prohibited by law. Leidos will also consider applicants with criminal histories consistent with relevant laws.
#Remote
#J-18808-Ljbffr
Senior Data Scientist
is sought to work closely with client stakeholders to support economic analysis of national importance through application of advanced statistics and data science techniques and technologies. In this position, you will utilize a strong background in statistics, machine learning, generative AI, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs.
Who we are:
Leidos is a Fortune 500 technology, engineering, and science solutions and services leader solving the world’s toughest challenges in the defense, intelligence, civil, and health markets. Leidos Civil Group helps the government modernize operations with AI/ML driven data management and analytics solutions. We are a trusted partner to government and regulated commercial customers in mission IT, security, software, engineering, and operations. We work with customers including the FAA, DOE, DOJ, NASA, National Science Foundation, Transportation Security Administration, Custom and Border Protection, airports, and electric utilities to make the world safer, healthier, and more efficient.
In this role, you will :
Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution.
Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets.
Build transparent, reproducible pipelines and analysis environments in cloud infrastructures.
Produce exhibits and memos that explain methods, limitations, and uncertainty.
Facilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science.
Create compelling data visualizations and reports that convey complex research findings to technical and non-technical stakeholders.
Support defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and client-ready findings.
Design and execute rigorous studies (e.g., difference-in-differences, panel models with fixed/random effects, instrumental variables/2SLS, time series/forecasting) to turn multi-source datasets into documented, auditable results.
Mentor teammates on best practices.
Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects.
Basic Qualifications:
Bachelors degree with 8+ years of applied data science experience or a Master’s degree with 6+ years of prior relevant experience.
Mastery of Python or R, statistical tools such as Stata, SAS, and strong SQL.
Expertise with ML algorithms (e.g., model selection, evaluation, feature engineering).
Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured and unstructured data.
Expertise with data visualization tools (e.g., Tableau, Matplotlib).
Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g., Azure ADLS/Databricks/Azure ML, or equivalents).
Comparative understanding of LLMs (e.g., Claude Code, ChatGPT) and tradeoffs in terms of capabilities, cost, and performance.
Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges.
Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling.
Familiarity with FISMA/NIST/Zero Trust security frameworks.
Current Principal Data Scientist (PDS) Certification.
U.S. Citizenship required.
Preferred Qualifications:
Experience with Spark/Databricks.
PhD preferred in Statistics, Mathematics, or a related quantitative field.
Domain exposure to antitrust, pricing, healthcare claims, fraud/forensics, or financial analysis is a plus.
Experience producing reproducible, peer-reviewed analyses that meet Rule 702/Daubert reliability requirements and can withstand Daubert challenges.
Contribution to open-source projects or participation in relevant data science communities.
About Leidos: Leidos is an industry and technology leader serving government and commercial customers with digital and mission innovations. Headquartered in Reston, Virginia, Leidos has 47,000 global employees and published revenues about $16.7 billion for the fiscal year ended January 3, 2025.
Pay Range
Pay Range $107,900.00 - $195,050.00. The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors in offers include responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity and market data.
Securing Your Data
Beware of fake employment opportunities using Leidos’ name. Leidos will never ask for payment-related information during the application process, nor will we advance money as part of hiring. Leidos will only communicate through emails generated by the Leidos.com automated system. If you receive a suspicious email, contact LeidosCareersFraud@leidos.com.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, disability, or any other basis prohibited by law. Leidos will also consider applicants with criminal histories consistent with relevant laws.
#Remote
#J-18808-Ljbffr