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Vytalize Health Data Scientist for Healthcare Startup in United States

About Our Company

Vytalize Health is an advanced primary care provider partnering with independent Primary Care providers (PCPs) to provide state of the art care to Medicare patients. Vytalize specializes in providing expanded primary care services that improve the quality of care for patients and is leading the transition to value-based medicine. Visit www.vytalizehealth.com and www.thephysiciansallianceaco.com for more information.

Responsibilities:

  • Implement machine learning and deep learning algorithms, employing a wide array of ensemble methods and common deep learning architectures

  • Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes

  • Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML

  • Design and develop a machine learning platform to train, manage data, evaluate, deploy models and to make and monitor predictions

  • Maintain and update elements of the AI and machine learning code base

  • Suggest, implement, and test models and methods

  • Manage analytics across platforms for all internal and client use cases

  • Effectively communicate complex analysis to broader non-technical audience/stakeholders

  • Ensure the developed models or statistical tests are reusable and modular for effective transition of analytic solutions to production on the cloud

Basic Qualifications:

  • Bachelor's Degree in Computer Science, Statistics, Math, Engineering, or another quantitative field

  • 0-2 years of experience in Machine Learning and/or quantitative analysis role

  • Experience in working with both structured and unstructured data to create reports, projections, models, and presentations to support business strategy and tactics

  • Ability to make decisions on moderately complex to complex issues regarding technical approach for project components

  • Knowledge of machine learning techniques, especially deep understanding for their benefits and drawbacks in real-world applications

  • Experience with numerical computing languages (e.g., R, Python, MATLAB and database

languages (e.g., SQL)

  • Experience with machine learning libraries and frameworks (e.g. PyTorch, TensorFlow, Keras, scikit-learn, etc.) and numerical computing libraries (e.g. NumPy, pandas, etc.)

  • Experience transforming and manipulating data sets

  • Excellent communication and presentation skills

Preferred Qualifications:

  • Knowledge of practice management processes, healthcare quality data and programs, healthcare claims, clinical programs/interventions, health outcomes, population health and EMR systems

  • Experience with cloud computing stacks (AWS services preferred)

  • Software technologies and services: Git, GitHub, Docker, APIs, AWS, Azure

  • Working knowledge of Linux environment, Python, Java and/or SQL

  • Experience with ML techniques for NLP and time series analysis

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