Jr Data Scientist at Leidos

This role will work closely and collaboratively with the Data Science team and CDC staff. This position requires an entrepreneurial mindset and strong communication skills to meet with customers to translate their requirements to working data solutions, while operating within the government’s guidelines and mandates.

Basic Qualifications

Bachelor's Degree in Statistics, Biostatistics, Data Science, Analytics, Mathematics, Computer Science or Computer engineering, Computer or Management Information Systems, (or similar scientific degree), and 1-2 years of experience designing, developing, and implementing data pipelines using R Studio and MS Azure.

• Willingness to learn enterprise cloud tools, including Azure Data Factory, Azure SQL. Database/Warehouse, Azure Databricks, Delta Lake, Lake House, PySpark, and/or Scala.
• Some experience migrating data pipelines from on-premise into production-ready data pipelines to the Azure cloud for use in data visualization, analysis, and reporting.
• Experience developing data pipelines and data flow tasks apply complex data manipulation and integration from a variety of data sources and destinations.
• Experience with any of the following data visualization tools: Power BI, Tableau or R Shiny.
• Knowledge and interest in Machine Learning techniques.
• Ability to multi-task based on the project priorities and deliver solutions on-time that meet customer requirements.
• Knowledge of source control tools – GitHub
• Write technical documentation and system architectures
• Team player who thrives in a dynamic and fast-paced environment.
• Knowledge of Agile Development methodologies and the Software Development Lifecycle (SDLC).

Preferred Qualifications

• University coursework in R, Statistical Computing, and/or Database Design and Administration.
• Programming experience in R, Python and/or SAS.
• 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 or other Azure Databases.
• Hands on experience migrating complex data pipelines from on-premises into Azure cloud environments.
• Experience using MS SQL Server Management Studio to write SQL and T-SQL Code for interacting with project databases.

Plus, but not required:

• Any of the following: Azure Data Engineer Certification, Azure Solution Architect, Microsoft Certified Solutions Associate, Solutions Expert or Database Administrator.

Description

Leidos has an immediate opening for a Jr Data Scientist to contribute to various 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). contingent upon contract award

The Jr Data Scientist would analyze various datasets (both unstructured and structured) to determine data relationships, model datasets for loading/storing into relational databases, create new data pipelines and ETL processes leveraging the R environment and the Azure cloud stack of resources and services. Perform data migrations from on-premise traditional SQL databases to the Azure Data Warehouse and Azure Synapse.

The Jr Data Scientist may also contribute to visualization projects working with the team to connect data streams/pipelines to Power BI, Tableau, and R Shiny. This role will work closely and collaboratively with the Data Science team and CDC staff. This position requires an entrepreneurial mindset and strong communication skills to meet with customers to translate their requirements to working data solutions, while operating within the government’s guidelines and mandates.

Primary Responsibilities

• Proficiency in R programming performing data cleaning, manipulation, and transformation to prepare data for visualization and analysis.
• Work with the Data Science team to Design, Develop, and Implement production data pipelines using R programming and the Azure stack of tools and services working in a collaborative environment within a cross-functional team.
• Migrate data pipelines from on-premise environments into production-ready data pipelines to the Azure cloud for use in data visualization, analysis, and reporting.
• Learn to build and configure data workflows using Azure data factory and Azure SQL Database/Warehouse.
• Attend Data Science Team Agile Scrum meetings including backlog refinement, daily stand-ups, customer demos, and team retrospectives.

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Pay Range:

Pay Range $53,300.00 - $82,000.00 - $110,700.00

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.