Job Description
Sr. Data Scientist - Enterprise Data & Analytics - FT - Day Req ID: 89560
Location: Orange, California
Division: Medical Center
Department: Enterprise Data and Analytics
Position Type: Full Time
Salary Range Minimum: USD $111,200.00/Yr.
Salary Range Maximum: USD $215,000.00/Yr.
Who We Are UCI Health is the clinical enterprise of the University of California, Irvine, and the only academic health system based in Orange County. UCI Health is comprised of its main campus, UCI Medical Center , a 459-bed, acute care hospital in in Orange, Calif., four hospitals and affiliated physicians of the UCI Health Community Network in Orange and Los Angeles counties and ambulatory care centers across the region. Listed among America's Best Hospitals by U.S. News & World Report for 23 consecutive years, UCI Medical Center provides tertiary and quaternary care and is home to Orange County's only National Cancer Institute-designated comprehensive cancer center , high-risk perinatal/neonatal program and American College of Surgeons-verified Level I adult and Level II pediatric trauma center , gold level 1 geriatric emergency department and regional burn center . UCI Health serves a region of nearly 4 million people in Orange County, western Riverside County and southeast Los Angeles County.
To learn more about UCI Health, visit
Your Role on the Team Position Summary: The Senior Data Scientist is responsible for developing artificial intelligence/machine learning models by applying advanced statistical and computational methods, migration and validation of existing models to the enterprise platform, process improvements efforts related to the machine learning life cycle, adoption and implementation of governance policies of enterprise algorithms, development of knowledge sharing content, and other endeavors related to the department's artificial intelligence/machine learning program. The incumbent is expected to mentor data scientists and junior data scientists by providing guidance, advice, and support in various facets of advanced analytics. The incumbent is expected to understand the clinical, financial, and operational issues to be solved and to determine targeted individual and/or linked healthcare data sets (structured and unstructured). The incumbent leverages machine learning tools and algorithms best suited to solve these issues. Interprets outputs, and presents findings to various levels of stakeholders and technical experts. The incumbent will also have responsibilities related to the validation, deployment, and operational maintenance and monitoring of models developed by distributed analytics and data science groups across UCI Health.
What It Takes to be Successful Total Compensation We offer a wealth of benefits to make working at UCI even more rewarding. These benefits may include medical insurance, sick and vacation time, retirement savings plans, and access to a number of discounts and perks. Please utilize the links listed here to learn more about our compensation practices and benefits .
Required Qualifications: - Master's degree in Computer Science, Mathematics, Statistics, Engineering, or other computational/quantitative field is required. PhD is preferred.
- 5 or more years of advanced data analysis experience and expertise in diverse statistical, data mining techniques and technologies including:
- Neural networks, deep learning, Nave Bayes, regression, random forest, clustering, text mining, social network analysis
- Natural Language Processing (NLP)
- Supervised and unsupervised machine learning
- Model validation, testing, and communication
- Machine Learning frameworks like scikit-learn, Tensorflow, Keras, pandas, etc.
- Proficiency with a statistical language: R or Python is required and analytical documentation: Jupyter or iPython notebook is preferred
- Strong programming skills with languages such as: shell scripting, Python, Perl, C++, SQL , and Java
- Experience working with Tableau, Power BI, matplotlib, ggplot2 or similar data visualization tools
- Demonstrated experience synthesizing and analyzing large data and making program recommendations based on that data
- Excellent written and communication skills explaining complex quantitative models to business stakeholders, management and executives
- Experience performing statistical analysis to quantify the limitations of models
- Ability to take inferences from data and produce decisions from it that will optimize objectives
- Ability to transfer knowledge and concepts to the team that is implementing the actual system
- Ability to grasp data and see patterns or make inferences at a high level
- Strong problem-solving and metadata skills
- Strong staff development, leadership, and coaching skills
- Strong organizational and interpersonal skills will be needed in our collaborative and fast-paced team
- Demonstrated ability to influence and shape consensus, lead group discussions and presentations to clinical and business operations leaders from across the organization
- Ability to establish and maintain a spirit of cooperation and respect, flourish in an unstructured environment, and always engage in professional and ethical conduct
- Flexibility with ad-hoc investigations and changes in requirements
- Must recognize problems, evaluate, and refer to the appropriate channels for action
- High functioning team skills, including active listening, rapport building, receiving and delegating work assignments
- Ability to probe for information about the underlying needs of the organization
- Ability to identify, document, resolve and/or escalate issues and maintain a complete issues log
- Ability to manage multiple and competing tasks
Preferred Qualifications: - Previous experience working in an academic medical setting
- Knowledge of applicable University policies and state and federal laws regarding copyright and other licensing issues.
- Experience working with Epic
- Experience working with Foundry
Conditions of Employment: The University of California, Irvine (UCI) seeks to provide a safe and healthy environment for the entire UCI community. As part of this commitment, all applicants who accept an offer of employment must comply with the following conditions of employment:
- Background Check and Live Scan
- Legal Right to Work in the United States
- Vaccination Policies
- Smoking and Tobacco Policy
- Drug Free Environment
The following additional conditions may apply, some of which are dependent upon business unit or job specific requirements.
- California Child Abuse and Neglect Reporting Act
- E-Verify
- Pre-Placement Health Evaluation
Details of each policy may be reviewed by visiting the following page:
Closing Statement: The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer . 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 .
We are committed to attracting and retaining a diverse workforce along with honoring unique experiences, perspectives, and identities. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming.
UCI provides reasonable accommodations for applicants with disabilities upon request. For more information, please contact UCI's Employee Experience Center (EEC) at eec@uci.edu or at (949) 824-0500, Monday - Friday from 8:30 a.m. - 5:00 p.m.
Consideration for Work Authorization Sponsorship Must be able to provide proof of work authorization
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About University of California Irvine Health
Since 1965, the University of California, Irvine has combined the strengths of a major research university with the bounty of an incomparable Southern California location. UCI's unyielding commitment to rigorous academics, cutting-edge research, and leadership and character development makes the campus a driving force for innovation and discovery that serves our local, national and global communities.
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Job Tags
Full time, Local area, Monday to Friday,