Cardiovascular • Pulmonary • Cancer • Women and Babies • Musculoskeletal
10,000+
2 days ago
Cardiovascular • Pulmonary • Cancer • Women and Babies • Musculoskeletal
10,000+
• Work with vast amounts of data from multiple sources to develop/refine/improve predictive models using advanced Python and machine learning techniques. • Deliver high-impact actionable insights to senior leadership and business operations; enable data-driven decision-making across the enterprise to improve the efficiency and effectiveness of Wellstar operations while focusing on patient and operational improvement. • Perform exploratory data analysis from structured, unstructured, and diverse datasets; apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. • Data preprocessing: clean, prepare and verify integrity of data to be used for analysis. • Discover and communicate actionable insights to decision makers. • Make presentations to leadership and decision-makers. • Partner with various functions to produce innovative and transformative data science solutions which directly contribute to achieving enterprise goals and vision. • Actively work with the Data Science team on process improvement efforts to improve productivity and quality of output. • Participate in departmental and cross-functional teams representing Data & Insights as needed. • Work independently and multi-task effectively on multiple assignments as needed. • Communicate effectively and appropriately with all levels of leadership and staff within the organization while representing Data & Analytics.
• Minimum 3 years Hands-on experience in Natural Language Processing (NLP) based solution development using machine learning in general and deep learning techniques. • Minimum 1 year Demonstrated experience in solving regression and classification problems using both supervised and unsupervised techniques, Natural Language Generation (NLU), entity recognition, transfer learning, language modeling and transformer-based architecture. • Minimum 1 year Experience working with large datasets, diving into data to discover hidden patterns, using data visualization tools, with advanced proficiency in SQL, Python and R studio. • Minimum 1 year Self-starter who is analytical and intellectually curious. An excellent problem-solver who is comfortable working with messy and/or unstructured data and translating clinical and business questions into discernable data insights to help drive positive outcomes. • Minimum 1 year Advanced proficiency in fine tuning, training, and validating a text classifier algorithm. • Minimum 1 year Proficient in exploring & analyzing unstructured / text data and conclude findings/insights. • Minimum 1 year Advanced proficiency in data visualization tools such as Qlik, Tableau or PowerBI. • Minimum 1 year Demonstrated business focus; must excel at connecting business requirements to analytic objectives and to measurable business benefit. • Minimum 1 year Previous experience working with healthcare data from Epic application. • Minimum 1 year Previous experience with cloud solutions (Azure) and cloud-based machine learning frameworks. • Minimum 1 year Experience with cloud-based analytic services.
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