Location:Remote - FL

Department: Analytics Center of Excellence

Work Type: Full Time

Shift: Shift 1/ to

Minimum to Midpoint Pay Rate:$90,667.20 - $117,852.80 / Annual

Summary

A Data Scientist's main mission is to collaborate with the business operations team to answer business questions by using data mining techniques, including pattern detection, graph analysis or statistical analysis. This position is an advanced technical professional role responsible for exploring and analyzing data across the enterprise and presenting information and key insights that supports the organization's strategies. Data Model Architecture designs must meet initial needs and allow scalability to support growth. The Data Scientist will have in-depth knowledge across multiple technical environments as well as strong business acumen and can provide expertise regarding systems design, integration and performance analysis across the business. The role promotes shared infrastructure and applications to reduce costs and improve information flows, and it ensures that new technology solutions do not duplicate functionality or diverge from each other and business and IT strategies. This role will interface with the business and IT community to ensure that the right people have access to the right data in the right format at the right time. The Data Scientist will identify and prioritize opportunities for and contribute to the improvement of quality, safety and cost, as well as Patient, Customer, Physician and Employee satisfaction.

Responsibilities:

Translates business needs into analytics/reporting requirements to support executive decisions and workflows with required information
Performs large-scale experimentation and builds data-driven models to answer business questions
Proactively mines data warehouses to identify trends and patterns and generates insights for business units and senior leadership
Performs large-scale experimentation to identify hidden relationships between variables in large datasets
Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
Apples statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed stochastic neighbor embedding (t-SNE), or principal components analysis (PCA) machine learning
Designs and conducts data analyses with the highest standard of rigor and scientific accuracy; this includes study design, methodology, algorithms, and statistical modeling

Educational Requirements
Required:

Bachelor's degree with a major in Information Systems, Computer Science, Mathematics, Engineering, Statistics or related scientific discipline

Preferred:

Master's Degree or Ph.D in a relevant technical field. Candidates will ideally have a specialization in ML or AI

Experience
Required:

At least 4 years of experience designing, managing, developing and analyzing multiple large complex data models spanning multiple disparate sources.
Proven experience in conducting statistical analysis and building models with advanced scripting languages
Experience leading projects that apply ML and data science to business functions
Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning, is preferred

Preferred:

Experience with business and clinical data in a healthcare setting, especially Epic, Lawson Experience utilizing a formal Quality Management methodology such as Lean, Six Sigma or TQM

Skills

Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
Knowledge of statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN)
Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
Willingness and ability to learn new technologies on the job
Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding
Ability to work in diverse, cross-functional teams in a dynamic business environment
Superior presentation skills, including storytelling and other techniques to guide and inspire.

State of Florida Licensure Requirements

Not Required

Certifications/Registration Requirements

Not required

Lee Health

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Data Scientist