Under limited direction and general supervision of Principal Data Scientist, serves as a subject expert for demographic, economic and statistical research (EDSR); serves as an advanced technical specialist to generate, collect, analyze, manage, and interpret large amount of economic and demographic data from multiple sources, and to synthesize data and deliver tangible research products to communicate to various stakeholders; serves as a team lead for EDSR projects; and may serve as a supervisor and mentor to Data Scientist II and I; develops and peer-reviews project methodologies and data products. We are seeking a well-rounded, data-driven individual with high-level technical skills who can build complex quantitative algorithms to create, organize and synthesize large amounts of information used to identify and answer relevant questions, and to provide unbiased data to support decision-making. Has a holistic understanding of data science and its usage. Has a strong quantitative background in research, data analysis, statistics, linear algebra, and programming knowledge with focus on data warehousing, mining, and modeling to build and analyze algorithms. Manages and conducts all aspects of research and analyses processes including problem definition, research design, primary and secondary data collection, data analysis, and report writing. Develops, utilizes, updates and documents complex computerized models, databases, methodologies, and statistical tools for obtaining, analyzing, and creating land use, demographic, social and economic information, and generating forecasts. Utilizes software such as SAS, ArcGIS, and Microsoft Power BI to conduct spatial and statistical analyses and to visualize information. Possesses excellent communication skills (written and oral) to explain highly technical information to their non-technical counter parts. Designs and develops materials and approaches for disseminating conclusions and products to decision-makers, planners, and the public. Designs, creates, and updates web pages. As part of the selection process, candidates may be asked to complete written exercises and provide work samples.
Position may be underfilled as a Data Scientist II (S25); the Underfill Requirements are stated below in the Employment Standards section.
(The knowledge, skills and abilities listed in this specification are representative of the class but are not an all-inclusive list.)
Knowledge of the principles, theories, and practices of economic, demographic, and statistical analysis and research.
Knowledge of data science life cycle and processes.
Ability to design and conduct complex research projects.
Ability to design and perform complex mathematical and statistical analysis and modeling.
Ability to effectively organize, prepare and disseminate information through reports, studies, and presentations.
Ability to use computer software (such as SAS, R, SQL, Python, ArcGIS, and MS Power BI)to analyze data and present results of studies.
Ability to use word processing, spreadsheet, and presentation software to prepare documents.
Ability to conduct research to assess database and technology needs, and evaluate intactness, connectivity, and accuracy of data.
Skills of data mining and data wrangling, to be able to source data and deal with imperfections in data.
Skills of programming: a statistical programming language such as SAS, R or Python; and a database querying language like SQL.