Requisition Number: 03024299 Final Filing Date: 08-12-2019 Closing Date: Payroll Title: CMPTL AND DATA SCI RSCH SPEC 4 Number of Positions: 1 Salary: $5,916.67 - $12,733.33/MO Appointment Type: Contract Appointment Description: 100%, Fixed, Monday-Friday; 8:00am-6:00pm (varies). This contract appointment ends 3 years from date of hire with the possibility of extension or conversion to career. Overtime Eligible (FLSA): Exempt Union/HEERA Representation: This position is not represented by a collective bargaining unit
Department: LIBRARY - 060500 Department Description: The DataLab: Data Science & Informatics promotes and facilitates data-enabled research and training at the frontiers of scientific, engineering, social and humanities disciplines, both applying existing and developing new methods in order to solve previously unsolved problems. A highly interdisciplinary, cross-university entity, the DataLab serves as a hub for a community of researchers and students from many domains who are interested in data science and pushing the envelope of research in the digital age. The DataLab provides advice and consultation, short-term services, and longer-term collaborations. It runs training workshops on many data science topics primarily at the intermediate and advanced levels. It holds problem-solving 'un-seminars', learning clusters, co-sponsors symposia and conferences, and generally fosters community. While the diverse efforts engaged in by the DataLab require a range of programming languages and experience, the common programming languages of the unit are R and C. For more information, see http://DataLab.ucdavis.edu and https://www.ucdavis.edu/.
Location: Davis Allow Applicants to Attach: Resume Cover Letter References
Job Summary: The UC Davis DataLab: Data Science and Informatics is seeking a full-time data scientist to join our team. Under general direction of the DataLab Director, the Data Scientist will 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. This is a contract appointment that ends three years from the date of hire with the possibility of extension or conversion to a career position based on performance and available funding.
Physical Demands: Standing or sitting at a computer workstation for extended periods of time, operating and occasionally moving computer and peripheral equipment and other supplies (up to 30 lbs); communicate in person, telephone and e-mail, and other online services; understanding and interacting with program output and a variety of operating systems and computer displays.
Work Environment: Maintain a work schedule during core business hours (working hours will vary from 8:00 am - 6:00 pm, Monday through Friday) with occasional irregular shifts, weekends, holidays and evenings on short notice to meet operational needs, international conference calls, and occasional deadlines or emergency needs as necessitated by project launches, major events, funding deadlines and IT systems availability. Work in an open office environment with multiple interruptions. Occasional travel to off-campus locations. Infrequent out-of-state and/or international travel for training, conferences, and project work. Overnight stays may be required.
This is a critical position that includes handling of potentially sensitive data types and is subject to a background check. Employment is contingent upon successful completion of background investigation including criminal history and identity check.
UC Davis is a smoke and tobacco free campus effective January 1, 2014. Smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes) will be strictly prohibited on any UC Davis owned or leased property, indoors and outdoors, including parking lots and residential space, parking lots and residential space.
Background Check Required: Yes
Minimum Qualifications: -PhD in a data-analytic discipline (e.g., Data Science, Statistics, Computer Science, Mathematics, Engineering, Information Science, or similar data analysis focused discipline) with at least 2 years of work experience involving hands-on data science problem solving with real-world, complex data sets. -Problem-solving and data manipulation skills. -Knowledge of and experience applying statistical modeling and machine learning methods to real world problems. -Proficiency in a high-level programming language (e.g., C, R, or Python) and a willingness to learn (if necessary) and work in R and C++. -Initiative to advance skills and knowledge as needed to fulfill assigned tasks and projects, including learning new methods and technologies. -Experience teaching or training others in the proper application of data science skills, methods, and theory. -Ability to work both as part of a team and independently, including sharing code and documentation and conducting reproducible analyses. -Verbal and written communication skills for research, technical, and lay audiences. -Ability to organize, manage, prioritize and work on multiple dynamic projects.
Preferred Qualifications: -Documented experience working in teams to solve data-driven, interdisciplinary problems. -Experience with parallel computing paradigms and technologies for data science. -Experience with software development, version control, unit testing, portability. -Experience working with sensitive/protected data in a research setting. -Experience developing educational materials and curricula and leading training and educational activities on data science topics, methods, and/or technologies. -Experience supervising interns. -Experience working with researchers on experimental design for research.
The University of California is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.
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UC Davis is the home of the Aggies — go-getters, change makers and problem solvers who make their mark at one of the top public universities in the United States. Since we first opened in 1908, we’ve been known for standout academics, sustainability and Aggie Pride as well as valuing the Northern California lifestyle. These themes are woven into our 100-plus-year history and our reputation for solving problems related to food, health, the environment and society.Our 5,300-acre campus is in the city of Davis, a vibrant college town of about 68,000 located in Yolo County. The state capital is 20 minutes away, and world-class destinations such as the San Francisco Bay Area, Lake Tahoe and the Napa Valley are within a two-hour drive.