Data Scientist Specialist

About this role

MINIMUM QUALIFICATIONS You must meet ALL of the minimum qualifications listed below. Bachelor's degree from an accredited college or university AND Must have 2 years of specialized experience with query language (e.g., SQL), programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks) AND Must have at least one year of specialized experience equivalent to the GS-13 that includes organizing and analyzing large amounts of structured and unstructured data sets using data analytics tools; developing and implementing data collection and analysis tools while utilizing programming languages and environments (e.g.

Python, Databricks, etc.); and using Python and analytics software to develop complex analytics, predictive modeling, and artificial intelligence solutions DESIRABLE QUALIFICATIONS 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) EVALUATION FACTORS You must have the experience, knowledge and skills as listed in EACH of the evaluation factors.

Failure to demonstrate that you meet all of the evaluation factor requirements as listed below will result in a score of zero (0); an ineligible status, and you will not be referred for further consideration. Include your major accomplishments relevant to the position requirements in your resume. Mastery and application of advanced data mining and artificial intelligence principles, concepts, methods, standards, and practices to develop related products and solutions and to interpret and implement related policies, procedures, and governance strategies Advanced experience using Python and analytics software to develop complex analytics and artificial intelligence solutions Experience planning, conducting, and leading complex analytical projects Experience defining problems, assessing alternatives, and recommending solutions for complex data and analysis issues Extensive experience ingesting, transforming, analyzing, and visualizing large, disparate data sets Ability to communicate effectively, both orally and in writing, complex business and technical information You will no longer be considered for this position if you: fail to respond to all of the questions in the self-assessment questionnaire; or receive a zero (0) rating on any evaluation factor.