Dlcp Jobs (NOW HIRING)

Job Summary
This position is located in the District of Columbia Government Department of Licensing and Consumer Protection, Office of Information Systems. DLCP protects the health, safety, economic interests and quality of life of residents, businesses and visitors in the District of Columbia by ensuring code compliance and regulating business. DLCP is responsible for regulating business activity in the District of Columbia. The agency protects consumers, issues business and professional licenses, registers corporations, inspects weighing and measuring devices used for monetary profit, and issues special events permit.
Duties and Responsibilities
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.
Qualifications and Education
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.
Licenses and Certifications
None
Working Conditions/Environment
Work is performed in an office setting.
Other Significant Facts
Tour of Duty: Monday- Friday 8:15AM- 4:45PM
Duration of Appointment: Career Service - Regular Appointment
Pay Plan, Series and Grade: CS-1560-12
Promotion Potential: No known promotion potential.
Collective Bargaining Unit (Union): This position is not covered under a collective bargaining unit.
Position Designation: The incumbent of this position will be subject to enhanced suitability screening pursuant to Chapter 4 of DC Personnel Regulations, Suitability Security Sensitive.
EEO Statement: EEOC Language: Based on recent federal changes, please use the following EEOC Statement for any postings created starting today. New Statement: The District of Columbia Government does not discriminate or retaliate in employment on the basis of race, color, religion, sex, pregnancy, gender identity and expression, national origin, family responsibilities, political affiliation, sexual orientation, marital status, homeless status, disability, genetic information, age, membership in an employee organization, participation in a legally protected activity, parental status, matriculation, personal appearance, credit information, status as a victim or family member of a victim of domestic violence, sexual offense, or stalking, military service, or other non-merit factor.