Full-Time 2 Research Data Scientist Positions
UC Davis’ DataLab serves as a hub for researchers and students from across domains at UC Davis who are interested in data science and pushing the envelope of research in the digital age. Our team works on a range of diverse, cutting-edge, collaborative projects and provides data science consultation, training, and other research support services across the university. DataLab is committed to promoting diversity and inclusion, and we encourage all qualified persons to apply. For more information about DataLab and these opportunities, see our website: http://datalab.ucdavis.edu.
Our data scientists support academic research across the university by designing and implementing practical solutions to data science challenges. This position is responsible for working on numerous diverse, cutting-edge, collaborative research projects, providing data science consultation and services/support for other projects and researchers, offering workshops to train students, staff, and faculty in data science methods and technologies, and developing general, reusable data science infrastructure, methods, software and tools. The ideal candidate will have extensive knowledge of applying statistical and machine learning methods to real-world problems and also expertise and documented experience applying mixed effect models, time series analysis, data visualization, data technologies, high-level parallel computing, text mining, and natural language processing. The ideal candidate should be excited to aid data-enabled, multi-disciplinary research and to continually learn, share, and problem solve.
See the application links for the full job details and qualifications per position. Both positions require education and experience in a data-analytic discipline (e.g., Data Science, Statistics, Computer Science, Mathematics, Engineering, Information Science, or similar data analysis focused discipline), work experience involving hands-on data science problem solving with authentic data sets, problem-solving and data manipulation skills, knowledge of and experience applying statistical modeling and machine learning methods to real world problems, strong communication skills, and proficiency in a high-level programming language (e.g., C, R, or Python).
– Work in a top-ranked, collegial and inclusive academic environment
– Conduct cutting-edge research
– Contribute to social good
– Professional development opportunities
– Flexible work arrangements and work-life initiatives
– Generous benefits options