Data Scientist

Virginia, Maryland, Washington, DC

Hybrid

Full time

Posted 5 Days Ago

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.

REQUIRED:

Bachelor's degree in computer science, systems engineering, or related technical discipline.

7 years of experience as a Data Scientist/Engineer/Administrator or similar role.

5 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.

MUST be a United States Citizen

Public Trust position - Requires a Federal Government Background Check

Target salary range: $110,000 - $138,000.

Sr Data Scientist

Remote Work, VA

Remote

Full time

Posted 4 Days Ago

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. Must have experience in modern interactive web applications and visualizations.

Responsibilities: