Data Scientist

SAIC is seeking a seasoned a Data Scientist who possesses knowledge of appropriate data sources to address the specific requirements of projects for data modeling. Understand business requirements and translating into technical work. Design and implement features in collaboration with team engineers, product owners, data analysts, and business partners using Agile / Scrum methodology.

Responsibilities

• Ability to build programs or systems that can take data and turn it into meaningful information that can be studied.
• Build ETL/ELT jobs and workflows to combine data from disparate sources.
• Install continuous pipelines of huge pools of filtered information so that data analyst/scientists can pull relevant data sets for their analyses.
• Build data workflows using SQL Server Integration Services (SSIS)
• Build data workflows using Microsoft Azure (Azure Data Factory, Storage Accounts, Synapse)
• Build data workflows using Databricks
• Collaborate with business stakeholders, business operations, and product engineering teams in
• Analyzing business problems, in building and testing solutions and data models
• Experience implementing and operating analytic models and services.
• Document the current-state and target-state software architecture and create roadmap plans for success on various software components.
• Knowledge of dimensional modeling techniques (star & snowflake).
• Knowledge of MPP database architecture.
• Knowledge of Data Quality, MDM solutions.
• Experience with tuning big data pipelines using data bricks.
• Working knowledge of data visualization tools i.e. Power BI.
• Assist in the design, implementation, and maintenance of complex solutions.
• Build systems that collect, manage, and convert raw data into usable information for business analysts to interpret.
• Make data accessible for evaluation and optimization
• Collaborate with business stakeholders, business operations, and product engineering teams
• Coordinate activities with other technical personnel as appropriate.

Qualifications

• Must have a Bachelor's degree and 5 years of experience, Masters and 3 years of experience. May consider an additional 4 years of experience in lieu of a degree.
• Bachelors in and in computer science, systems engineering, or related technical discipline is preferred.
• 5 years of experience as a Data Engineer/Administrator or similar role. 10 years of experience is preferred.
• Works the back end data and organizes it into table using SQL scripts and SSIS. SSIS, SSMS
• Ability to work independently with minimal direction providing technical and non-technical support to multiple users
• Capable of working under pressure, while handling multiple tasks simultaneously
• Ability to work overtime and weekends required on occasion
• Experience providing services to the federal government is preferred
• Must have Azure/Cloud experience

Preferred

• Works the back end data and organizes it into table using SQL scripts and SSIS. SSIS, SSMS
• Experience with Microsoft Azure
• Experience with Databricks
• Experience using Python or other scripting languages in data pipelines
• Experience with Microsoft Power BI
• Ability to work independently with minimal direction providing technical and non-technical support to multiple users
• Capable of working under pressure, while handling multiple tasks simultaneously
• Ability to work overtime and weekends required on occasion
• Experience providing services to the federal government is preferred