Data Scientist - TS/SCI CI Poly

About the position

TENICA is looking to hire a Data Scientist. Must have active TS/SCI with CI poly. We are seeking a Data Scientist to support our customer. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic environment and work closely with government customer and IT developers to validate customer's data and data analytics requirements. This position will also be responsible for the following: 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. 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. Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management. Strong math, coding and analytical skills are essential to complete job requirements successfully.

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.
• 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.
• Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management.

Requirements

• 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.
• Ability to manipulate 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.

Nice-to-haves

• Have a 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.
• Have experience working in Agile and DevOps environments.