Data Scientist/Data Architect

About the role

This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic environment and work closely with a government customer and IT developers to validate customer's data and data analytics requirements.

Responsibilities

• Establish Data Environments, and serve as the data visualization subject matter expert.
• Create and translate trend, time-series, and predictive analyses, and facilitate stakeholder decision-making technical exchange meetings.
• Participate in hands-on work on data science for data modeling, design, model training, and implementation to meet enterprise requirements.
• Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis.
• Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes.
• Applying data wrangling and exploration techniques.
• Maintaining and manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses.
• Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources.
• Providing input on software implementation for analytics.
• Validating customer requirements and determining feasibility of solutions and alternative options.
• Contributing to and collaborating on executive-level briefings for the CDAO.
• Providing excellent organizational, analytical, data science abilities, and compiling and organizing statistical information retrieved and presenting findings to management.

Qualifications

• Current TS/SCI with Poly is required
• Bachelor's degree in Computer Science, Computer Engineering, or relevant STEM field
• 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role
• Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data
• Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis
• Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes
• Experience manipulating data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights
• Experience with Programming languages like Python, Java, SQL and Cloud technologies
• Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules

Desired Skills

• Depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView)
• Data scientist certification from AWS, Google, Microsoft, Oracle, or etc
• Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart
• Deep understanding of machine learning and artificial intelligence for logical applications and techniques
• Experience working in Agile and DevOps environments