Data Scientist at SAIC

, , -

Full Time

Start Date

Immediate

Expiry Date

07 Feb, 26

Salary

0.0

Posted On

09 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Statistical Models, SQL Server Integration Services, Microsoft Azure, Databricks, Data Visualization, Python, Data Quality, MDM Solutions, Big Data Pipelines, Agile, Scrum, Requirements Gathering, Project Management, Geospatial Software, Power BI

Industry

Defense and Space Manufacturing

Description

SAIC is seeking a seasoned 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: Build and maintain statistical models. Ability to build programs or systems that can take data and turn it into meaningful information that can be studied. 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. 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. Required: Master's degree in computer science, systems engineering, or related technical discipline 10 years of experience as a Data Scientist/Engineer/Administrator or similar role 8 years of additional relevant experience may substitute for education 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 Experience providing services to the federal government is preferred Building visualizations using Python (plotly, matplotlib, seaborn, etc.) Experience using ArcGIS or other geospatial software Requirements gathering and project management experience Experience with Microsoft Power Apps and Power Automate

Responsibilities

The Data Scientist will build and maintain statistical models, design and implement features in collaboration with team members, and analyze business problems to develop solutions. They will also document software architecture and create roadmap plans for various software components.