Data Scientist (Hybrid)

A.C. Coy•Arlington, VA

17h•Hybrid

About The Position

Tier One Technologies is looking for a Data Scientist to support our US Government client. This hybrid contract-to-hire position will be located in Arlington, VA. Must be a US Citizen. SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or related field.
5+ years of coding experience utilizing SQL, Python, R, and Java Scripts.
3+ years of experience working with projects involving Machine Learning, Natural Language processing, Robotics Process Automation, Artificial Intelligence, text and/or Data Mining, as well as statistical and mathematical methods.
Prior experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
Familiarity with Azure DevOps and/or GitHub to support continuous integration and delivery pipelines and operate within Agile frameworks to iteratively deliver high‑quality data products, machine learning models, and artificial intelligence solutions.
Proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
Proficiency applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact.
These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
Strong relational database and querying languages experience.
Effectively work in a team environment.
Excellent communication skills.
Must be a US Citizen and be able to obtain Public Trust clearance.
Must have lived in the United States for the past 5 years.
Cannot have more than 6 months travel outside the United States within the last 5 years.
Military Service excluded.

Nice To Haves

Professional certification(s) in a related field of Data Science and/or Data Analytics disciplines preferred.

Responsibilities

Research, design, and develop visualization solutions using a variety of methods to support investigative and audit products.
Design experiments, test hypotheses, and develop scalable models using data science and artificial intelligence (AI), including machine learning, methodologies.
Design, develop, and adapt mathematical, statistical, econometric, and other analytical solutions to support audit, investigation, research, and related functions.
Analyze data to support Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and the effective application of analytical tools.
Review, analyze, and modify existing products, including coding, debugging, testing, and documentation.
Develop, manage, and optimize automated data pipelines to ensure data integrity, support reliable analytics workflows, and facilitate effective collaboration across teams.
Integrate disparate and diverse data sources, including flat files, relational databases, and external systems, using techniques such as JDBC/ODBC connections, REST APIs, and web scraping to support robust analytics and data-driven decision-making.
Provide guidance to coworkers on business and technical issues affecting projects, including data access, data quality, storage capacity, and analytical tools and software.
Assist with training and conference development, including presentations to large audiences.
Facilitate communication between business owners and end users who need to work with database administrators and traditional IT support staff.
Ensure compliance with applicable quality and security guidelines.
Coordinate with staff and customers to identify and document business and technical requirements.
Produce written documentation and technical artifacts for all completed work, including translating user requirements into technical designs.
Assist the agency in developing programming and data visualization solutions.
Troubleshoot and provide technical support for existing projects and application efforts.