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Sr. Data Scientist - Enterprise Data & Analytics - FT - Day

University of California, Irvine

Overview:

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, , 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 , and American College of Surgeons-verified , and . 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

Responsibilities:

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.

Qualifications:

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 and .

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, Naïve 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, re

Location: Villa Park, CA

Posted: Sept. 16, 2024, 7:21 a.m.

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