Location: Gainesville, FL
Cap-Exempt H-1B Position — No lottery required
**JOB NO:** 540546 **WORK TYPE:** Staff Full-Time **LOCATION:** Main Campus (Gainesville, FL) **CATEGORIES:** Computer Science, Agricultural Sciences, Physical/Mathematical Sciences **DEPARTMENT:** 60220000 - AG-STATISTICS **CLASSIFICATION TITLE:** Data Scientist I **CLASSIFICATION MINIMUM REQUIREMENTS** A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and two years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field. **JOB DESCRIPTION:** Statistical consulting with faculty, staff, and graduate students on applied research projects in agriculture, natural resources, and life sciences. Consulting activities include helping researchers define research questions, select appropriate statistical methods, evaluate experimental designs and sampling strategies, organize data for analysis, and interpret statistical results. Topics may include experimental design, ANOVA, regression, linear and generalized linear models, mixed models, repeated measures, multivariate analysis, and other applied statistical methods relevant to IFAS research. Conducting reproducible statistical analyses using appropriate statistical software, primarily R and/or Python, and additional tools such as SAS, JMP, Stata, or SPSS as needed. Duties include data cleaning, exploratory data analysis, model fitting, model diagnostics, summarizing results, preparing analysis outputs, producing graphical representations of results, and explaining analytical approaches to researchers. The position may also use high-performance computing resources when appropriate for statistical or data-intensive analyses. Assisting researchers with the preparation of publication-ready tables, figures, statistical summaries, methods descriptions, reports, abstracts, manuscripts, grant-related materials, and other research outputs. This includes helping ensure that statistical results are presented accurately, clearly, and in a format