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Job Details


Data Scientist ( R-00085828 )





Baltimore, Maryland, United States


Job Description:

The Government Health and Safety Operation has an opening for a Data Scientist to support a large healthcare contract in Baltimore.

Position Objective:

  • You will work with Machine Learning Engineers and MLOps Engineers to build, scale, and maintain AI/ML training and scoring pipelines
  • You will work lead development and execution of new and/or highly complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
  • You will work with architectures and the CTO team to assess and research technologies, AWS services, and frameworks for our Cloud & DevSecOps pipelines


  • Leading statistical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses
  • Leading and maintaining organizational practices in version control, software development and configuration management, including key performance indicators for the delivery of machine learning and artificial intelligence algorithms
  • Maintaining current data product APIs, releasing ML models on a regular cadence, building capability of continuous training and monitoring
  • Explaining model behavior/results to both Technical and Non-Technical Audiences
  • Leading engagements with key business stakeholders in discussions on business strategies, opportunities, and project KPIs
  • Serving as a subject matter expert on machine learning and artificial intelligence
  • Leading research and development of machine learning and artificial intelligence solutions from ideation to implementation to product
  • Anticipating and solving strategic and high-risk business problems with broad impact on the business area by applying leading-edge theories and techniques to investigate problems, detect patterns and recommend solutions
  • Demonstrating the technical skill to review, verify, and validate the software code developed in the project
  • Troubleshooting techniques and fixing the code bugs
  • Monitoring processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
  • Encouraging and building automated processes wherever possible
  • Participating in incidence management and root cause analyses
  • Coordinating and communicating within the team and with customers

Education and Experience:

  • Bachelor’s Degree or equivalent in experience in Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Scientist, or related field. Experience may be substituted in lieu of degree.
  • 5+ years working in research and development, building ML and statistical models
  • 3+ years of experience in AWS cloud data architecture and big data technologies, including EMR, Databricks, Hive, Spark, AWS Glue, Athena, and Redshift


  • Experience working in AWS
  • Experience working on Linux based infrastructure
  • Strong experience with [Register to View] target="_blank">Python, PySpark, R, RStudio, and SageMaker
  • Strong experience with data mining, supervised, and unsupervised learning methodologies including data dimensionality reduction, correlation analysis, linear regression, PCA, clustering, random forest, etc.
  • Strong experience with AI/ML libraries such as scikit-learn, SparkML, TensorFlow, PyTorch
  • Proficient with relational databases and advanced SQL
  • Experience configuring and managing databases such as Hive, MySQL, MongoDB
  • Excellent troubleshooting skills
  • Working knowledge of various tools, open-source technologies, and cloud services
  • Awareness of critical concepts in Security, DevOps and Agile principles

All candidates supporting the CMS programs must have lived in the United States at least three (3) out of the last five (5) years prior in order to be considered.

Pay Range:Pay Range $74,750.00 - $115,000.00 - $155,250.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.