Data Scientist

• 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.
• 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.
• 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.
• 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

• 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), * Must have a Degree in Computer Science, Information Technology, Data Analytics, or related field.
• 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.
• Professional Certification(s) in a related field of data science and/or data analytics disciplines preferred.
• Candidates MUST be a US Citizen and be able to obtain a Position of Public Trust Clearance. Must not have traveled outside the US for a combined total of 6 months or more in last 5 years and have resided in the US for the last 5 years.