below marketmost similar roles pay hereabove market
This role pays less than
67%
of similar roles. Most pay
$126,800–$204,800
— the blue band above.
At the midpoint, this role pays about
$151k
versus about
$166k
for comparable roles.
Based on 240 similar postings.
Employer
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations.
Leidos currently has
426 open roles
on FindRole.
Listed pay typically runs
$92,300–$166,850
across 344 roles with salary data.
Data Scientist
The Data Scientist joins a multidisciplinary team of mission-focused analysts and reporters to support predictive intelligence and national security. This role involves developing machine learning models to extract insights from large, complex, sparse, noisy, and adversarial datasets. The successful candidate will translate analytic questions into technical requirements, characterize datasets of varying structure, and provide recommendations on technical approaches. Key responsibilities include creating decision advantage for operators through deep learning, graph analytics, and anomaly detection while supporting automated analytics workflow development. Required technical skills include proficiency in Python and C/C++ along with experience using data visualization tools like Tableau, Power BI, or Python libraries. The work focuses on solving intelligence and cyber operations problems by converting complex data into actionable insights for various stakeholders.
What does a Data Scientist earn?
Median $173200 from 338 postings across 66 companies.
Develop machine learning models to extract insights from large, complex intelligence datasets.
Translate analytic questions into technical requirements and data-driven solutions.
Characterize and assess datasets in varying states of structure and quality.
Provide informed recommendations on technical approaches based on evolving intelligence capabilities.
Communicate findings clearly to both technical and non-technical stakeholders.
Support the development of automated analytics workflows.
Apply deep learning, graph analytics, and anomaly detection to sparse and noisy datasets.
What we're looking for
Active TS/SCI with polygraph required.
Bachelor’s degree in Computer Science, Mathematics, Statistics, AI/ML, Data Science, Operations Research, or related technical field with 10 years of relevant experience.
Associate’s degree with 12 years of relevant experience may be considered.
Other degrees with strong coursework in advanced math, statistics, AI/ML, computer science, or data mining, or relevant certifications in Data Science or AI/ML will be considered.
Proficiency in Python and C/C++ or similar languages.
Experience with data visualization tools such as Tableau, Power BI, or Python libraries.
Ability to translate complex data into actionable insights and communicate effectively across teams.
Experience supporting intelligence or cyber operations missions (preferred).
Python
R
SQL
SAS
MATLAB
Machine Learning
Artificial Intelligence
Natural Language Processing
Spark
Databricks
ElasticSearch
NiFi
Palantir Foundry
Tableau
Power BI
Qlik
Plotly
Seaborn
ggplot2
ADVANA
Maven Smart System