IT Data Scientist

Our promise to you:

Joining AdventHealth is about being part of something bigger. It’s about belonging to a community that believes in the wholeness of each person, and serves to uplift others in body, mind and spirit. AdventHealth is a place where you can thrive professionally, and grow spiritually, by Extending the Healing Ministry of Christ. Where you will be valued for who you are and the unique experiences you bring to our purpose-minded team. All while understanding that together we are even better.

• Advocates and educates on the value of data-driven decision-making, focusing on the “how and why” of solving problems.
• Leads the life cycle of data science projects, from analysis, build, train, validate, and deploy.
• Creates iterative, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products based on feedback from multiple stakeholders.
• Engineers features using business acumen to combine disparate internal and external structured and unstructured data sets and sources.
• Follows best practices for developing analytic methodologies and software.
• Formulates validation strategies to ensure accurate and reliable data.
• Develops and implements new algorithms for processing and imputing clinical, financial, and operational data in collaboration with internal technical and engineering teams.
• Performs deep analytics and generates reports with recommended solutions around various topic areas.
• Serves as a member in AI governance initiatives to enhance transparency, accountability, safety, reliability, and ethical standards.
• Identifies data abnormalities and their root causes, suggesting possible steps for mitigation.
• Transforms large amounts of complex data into business insights and solutions using statistics, machine learning, pattern recognition, text mining, and parallel/distributed computing. Utilizes the latest technologies and tools in AI, NLP, and LLM to develop prototypes for business and deploy them in production.
• Other duties as assigned

• Healthcare Business Acumen & Industry Knowledge: [Required]
• Research work experience [Required]
• Strong record of healthcare data science experience with demonstrated results [Required]
• Ability to approach high-level challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources. [Required]
• Experience working with a healthcare data platform such as the Epic and Cerner [Required]
• Experience working in a large healthcare system a strong plus [Required]
• Effective Communication: [Required]
• Proficient at detailing techniques and discoveries to technical and non-technical audiences in a language they can understand. [Required]
• Demonstrated ability to write scholarly publications [Required]
• Quantitative/Technical Skills: [Required]
• 5+ years of relevant experience in Data Science [Required]
• 3+ years of relevant experience in Health Care field [Required]
• Experienced in LLM (GPT, Mistral, Flan, Falcon, etc.) and NLP models (transformers), Encoders and Decoders [Required]
• Programming Languages: Python, Pandas, SQL, R [Required]
• Knowledgeable in frameworks such as PyTorch, TensorFlow, Huggingface, Langchain, Scikit-learn
• Experienced in MLOps using Docker, Flask, MLFlow, Git, Kubernetes, AWS, Linux, etc.[Required]
• Knowledgeable in PowerBI using DAX [Required]
• Proficiency in deep learning techniques such as CNN, RNN, OCR [Required]
• Highly competent in advanced statistical modeling and implementation of machine learning algorithms (Logistic, Bayesian, Decision Trees, Random Forest, Gradient Boosting, Neural Networks, etc.)[Required]
• Proficiency in Azure ML platform, Endpoint development and Deployment[Required]
• Competency of Cloud-based computing and data integration services (MS Azure, Data Factory, Snowflake)[Required]
• Intellectual Curiosity; Proficient at exploring new territories and finding creative and unusual ways to solve problems[Required]
• Self-motivated, independent and goal-oriented, a fast learner with good communication skills.[Required]

• Master's [Required]

• in Data Science, Computer Science, Statistics, Artificial Intelligence, Quantitative Methods, or closely related quantitative field

• 5 years of relevant experience in data science and unsupervised research [Required]

Certain positions are subject to Florida Level 2 background screening, including fingerprinting, as required by state law.

Applicants may review general information about Florida’s background screening requirements at the Florida Care Provider Background Screening Clearinghouse:
https://info.flclearinghouse.com/

This facility is an equal opportunity employer and complies with federal, state and local anti-discrimination laws, regulations and ordinances.