Leidos has an immediate opening for a Lead Data Scientist to contribute to public health projects working within a cross-functional team for the National Center of Immunization and Respiratory Disease (NCIRD) at the Centers for Disease Control and Prevention (CDC).
The Lead Data Scientist will work collaboratively with the Program Manager to determine project schedules and with the technical team to define Azure-based data science architecture, workflows, and analytical products. The Lead Data Scientist will apply Agile Development using Azure DevOps. This role will lead efforts to analyze structured datasets to determine data relationships, model datasets for loading/storing into relational databases, support the team in the definition and development of automated data pipelines and ETL processes leveraging R, Azure Data Factory, Azure Databricks, and other Azure cloud services. The Lead Data Scientist also support ongoing data migration projects from on-premise SQL databases to Azure to define and build new data pipelines working with the Data Science team and cloud support groups. The Data Scientist will contribute to ML/AI projects including NLP and in the development of public-facing data visualizations, working with the team to connect data streams/pipelines to Power BI, Tableau, and R Shiny interactive visualizations. This role will work closely and collaboratively with the Leidos Data Science team, CDC staff, data vendors, and CDC partners to execute the day-to-day operations of the Data Science team. The role will be active in defining and educating customers on Data Science Best Practice. This position requires an entrepreneurial mindset and strong communication skills to coordinate technical tasks across the team and meet with customers to translate business requirements into working data solutions, while operating within the government’s guidelines and mandates. This role provides the opportunity to work across many technologies to help shape a growing Data Science discipline at the CDC to help solve tomorrow’s public health challenges.
- Design, develop, test, and implement fully automated, event-triggered, or scheduled production data pipelines using R, Python, and Azure stack of tools and services working in a collaborative environment within a cross-functional team.
- Writes, tests, and implements code for cleaning, wrangling, manipulating, and transforming data to prepare it for downstream storage processing such as insertion/updating of databases and for downstream analytical processing, including statistical computation, visualization, and standardized reporting.
- Develops data visualizations for public facing Power BI dashboards.
- Independently meets and clearly communicates with CDC subject-matter experts, CDC technical staff, and fellow Data Science Team members to elicit project requirements, translate them into technical implementation plans, and to develop solutions to meet the requirements.
- Provide technical instruction and support to less experienced members of the team.
- Define improvements to the Data Science environment and infrastructure to improve performance and meet new customer requirements.
- Attend all Agile Scrum team ceremonies including sprint planning meetings, backlog refinement, daily stand-ups, and customer demos.
- Bachelor's Degree in Statistics, Data Science, Analytics, Mathematics, Computer Science or Computer engineering, Computer or Management Information Systems, (or similar scientific degree), and 6+ years of experience designing, developing, and implementing data pipelines or analytical processes using R Studio and Microsoft Azure.
- High proficiency in R programming to perform data cleaning, data wrangling, manipulation, and transformation to prepare data for visualization and analysis.
- Expertise in writing R functions and in developing and maintaining in-house R packages.
- Expertise in R packages, especially dplyr, tidyverse, Shiny, plotly, knitr, and ggplot2.
- Skilled in developing dynamic documents, slide decks, and other deliverables using R Markdown.
- Skilled in computing various statistics using statistical methods to extract meaning from data.
- Experience merging and integrating disparate datasets and outputting to various target destination databases or systems.
- Experience using Application Programming Interfaces (APIs) to retrieve data or submit requests to online data systems.
- Experience with Power BI and R Shiny Dashboards.
- Knowledge and interest in Statistics, Machine Learning, and/or AI techniques.
- Ability to multi-task based on the project priorities and deliver the solutions on-time with excellent quality.
- Familiarity with Azure DevOps with Git integration for version control as well as a project management tracking system.
- Experience engineering and applying Azure CI/CD capabilities.
- Understanding of enterprise data architecture and data quality controls.
- Team player who thrives in a dynamic and fast-paced environment.
- Enjoys mentoring and supporting junior staff.
- Write technical documentation and create system architecture diagrams.
- Knowledge of Agile Development methodologies and the Software Development Lifecycle (SDLC).
- Enthusiastic self-starter looking forward to support the Public Health mission of the CDC.
- University coursework in R, Statistical Computing, and/or Database Design and Administration.
- Programming experience in R, Python, SAS, and/or SQL.
- Familiarity with database stored procedures, tables, views, triggers, and queries.
- Experience with the O365 Application Power Automate.
- Work experience with Azure Data Factory, SQL Server, and/or Azure Databases.
- Hands on experience migrating complex data pipelines from on-premises into Azure cloud environments.
- Any of the following relevant certifications: Azure Data Engineer Certification, Azure Data Scientist Associate, Azure Solution Architect, Microsoft Certified Solutions Associate, Solutions Expert or Database Administrator.
- Experience using MS SQL Server Management Studio to write SQL and T-SQL Code for interacting with project databases.
- Previous experience and/or interest in working in the Public Health.
Pay Range:Pay Range $97,500.00 - $150,000.00 - $202,500.00
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.
Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 46,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $14.4 billion for the fiscal year ended December 30, 2022. For more information, visit www.Leidos.com.
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