Data Scientist

About the role

We are seeking a Data Scientist to join our team. Candidates will need to live in the DC Metro area and report to the office in Arlington VA twice per pay period. Candidates MUST be a US Citizen.

Responsibilities

• Works independently and within teams to use the necessary data extraction, manipulation, and aggregation techniques to prepare, clean, normalize, and validate data to complete varied projects and tasks.
• Researches, designs, and develops visualization solutions using a range of methods which support investigative and audit products.
• Designs experiments, tests hypotheses, and builds scalable models using data science and artificial intelligence (e.g. machine learning) methods.
• Designs, develops, and adapts mathematical, statistical, econometric, and other analytical solutions for audit, investigation, research, and support functions.
• Leads artificial intelligence activities such as natural language processing, predictive analytics, and machine learning model development, training, evaluation, testing, refinement, deployment, and maintenance.
• Translates complex technical findings into an easily understood narrative.
• Prepares comprehensive documentation for requirements, test plans, user manuals, technical diagrams, and training materials.
• Develops project communications and maintains effective working relationships between project teams, stakeholders, and management.
• Provides advice on issues affecting projects, such as data access, quality, storage, and other related needs.
• Contributes to and presents training and conference materials to large audiences.
• Independently performs comprehensive and efficient data collection and analysis of a variety of data sources to develop trends, descriptive statistics, or other insights.
• Uses expert level knowledge to identify and develop sources of information from structured and unstructured data, criminal intelligence databases, public information sources, internal Postal Service databases, reference manuals, and audit and law enforcement reports.
• Independently researches, extracts, evaluates, interprets, and visualizes data and information as actionable intelligence for auditors and investigators to detect, prevent, and respond to fraud, waste, and abuse.
• Uses relational databases, data lakes, data lakehouses, and other data environments to create a variety of analytic products such as business intelligence tools, summary tables, comparison graphs, or temporal, association, and link analysis charts.
• Interacts with other agencies and builds relationships with peers to share information and learn the latest developments in analytical tools and techniques to effectively support the OIG with mission related work.
• Develops substantial knowledge of database applications and environments and shares expertise with coworkers in support of agency goals and objectives.
• 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, Data Lakehouses, and Data Lake.
• Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
• Cook up 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.
• Aid 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.

Requirements

• Proficiency in common data science tools and programming and scripting languages such as SQL, Python, R, and JavaScript with a 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.
• Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).
• Knowledge and experience in the law enforcement and/or audit industry.
• Knowledge and experience using cloud computing platforms such as Azure.
• Knowledge and experience with relational databases and structured query language (SQL).
• Minimum of 5+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
• Minimum of 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.
• Minimum 6 months' experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.

Qualifications

• Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).
• Knowledge and experience in the law enforcement and/or audit industry.
• Knowledge and experience using cloud computing platforms such as Azure.
• Knowledge and experience with relational databases and structured query language (SQL).
• Minimum of 5+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
• Minimum of 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.
• Minimum 6 months' experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.

Skills

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

Benefits

N/A

Pay

N/A

Schedule

N/A