Search for More Jobs
Get alerts for jobs like this Get jobs like this tweeted to you
Company: SAIC
Location: REMOTE WORK, TX
Career Level: Mid-Senior Level
Industries: Technology, Software, IT, Electronics

Description

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

·        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

·        Must be a US Citizen and able to obtain a Public Trust

 

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.


 Apply on company website