Data Scientist

Develop computational algorithms and statistical methods to find patterns and relationships in multiple database sources. Develops scripts, queries, or software code to accomplish specific requirements or tasks. Designs, builds, and tests data models, algorithms, and predictive models. Identifies and utilizes predictive modeling and machine learning techniques to improve program and operational processes and agency’s overall data quality. Manipulates, manages, queries, analyzes, and summarizes data from open source, law enforcement, District, and DLCP data sources into cohesive reports in support of strategic initiatives, program evaluations and investigations. Data may come in the form of a database, spreadsheet, official records, emails, and other formats.

Compiles and performs analyses on a variety of datasets from various sources to provide informed and data-driven insights leading to process and operational recommendations for DLCP and its stakeholders. Develops correlations, models, algorithms, forecasts, and visualizations based on generally accepted statistical methods using data from both DLCP systems and external sources.

SELECTIVE FACTOR: Experience using MicroSoft Excel in the data analysis process.

Individuals must possess at least one (1) year of specialized experience equivalent to the next lower grade level in the normal line of progression. Specialized experience is experience which is directly related to the position which has equipped the individual with the knowledge, skills and abilities to successfully perform the duties of the position to include work directly related to analyzing and evaluating the effectiveness of line program operations in meeting established goals and objectives; researching and investigating new or improved business and management practices for application to agency programs or operations; use of automation to improve the efficiency of administrative support or program operations; or performing similar business processes and/or analytical work related to agency programs and/or operations. Thorough knowledge in data analytics, statistics, and modeling; various programing languages, scripting, and software coding, such as R, Structured Query Language (SQL and NoSQL), JavaScript, Python, Cloud Services Design, Algorithm Development, Data Visualization, Big Data /Data Modeling, Machine Vision & Deep Learning, Optimization, and/or C++ Java.