Job Title: Mid-Level Data Scientist

Location: Arlington, VA/Remote

NOTE: This individual will be able to do remote work. However, this individual is required to live within driving distance of Arlington VA so that they are able to come into the office if needed. Schedule TBD by manager.

Position Description

Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the-shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.

Knowledge and experience using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.

Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).

Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.

Knowledge of SAS Visual Analytics, SAS Enterprise Guide, SAS Studio, Office Analytics, and other SAS tools.

Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.

Coordinate with staff and customers to identify business and technical requirements.

Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.

Assist the agency in the development of programming and visualization solutions.

Troubleshoot and provide support on existing projects or application efforts.

Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.

Knowledge of ODBC connection strings, and other external data source connection protocols.

Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.

Evaluate, assess, document, and test data security and continuity of operations for systems and programs.

Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.

Primary Requirements

Knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the 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.

Skill 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.

Skill using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.

Work as RISC liaison to CIO for server/system issues related to AWS and Azure.

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.

Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.

Review, analyze, and modify existing products including coding, debugging, testing, and documenting.

Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.

Assist with training and conference development which may include presentations to large audiences.

Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.

Ensure that quality/security guidelines are followed.

Strong relational database and querying languages experience.

Strong verbal and written communication skills.

Must be able to work effectively in a team environment.

Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).

Desired Requirements

Knowledge of SAS Visual Analytics, SAS Enterprise Guide, SAS Studio, Office Analytics, and other SAS tools.

Experience

MUST have a Degree in Computer Science, Information Technology, Data Analytics, or related field.

5 years experience and skill writing coding languages (such as SQL, Python, R, SAS, and Java Scripts).

3 years 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.

At least 6 months experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.

Professional Certification(s) in a related field of data science and/or data analytics disciplines preferred

Must be able to obtain a Position of Public Trust Clearance US Citizen or Permanent Resident (Green Card Holder) andmust not have traveled outside the US for a combined total of 6 months or more in last 5 years.

Must have resided in the US for the last 5 years