Job Details

Description

SAIC is seeking a seasoned Data Scientist with experience in a modern analytics technology stack and is capable of building pipelines and front-end dashboards and applications. 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. The candidate must have experience in modern interactive web applications and visualizations.

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 Microsoft Azure (Azure Data Factory, Storage Accounts).

• Build data workflows and machine learning models in a Databricks environment.

• Building visualizations using Python (plotly, matplotlib, seaborn, etc.).

• Build interactive geospatial products using ArcGIS or similar software.

• Develop solutions with Microsoft Power Apps and Power Automate.

• Collaborate with business stakeholders, business operations, and product engineering teams in.

• Analyzing business problems, in building and testing solutions and data models.

• Building interactive analytics applications using Shiny and similar packages/frameworks.

• 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

Required:

• Bachelor'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:

• Experience with Microsoft Azure.

• Experience with Databricks.

• Experience using Python or other scripting languages in data pipelines.

• Experience with Microsoft Power BI.

• Experience with version control (Git, etc.).

• 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.

• Requirements gathering and project management experience.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

REQNUMBER: 2512249

SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability