Data Scientist Ii - Reinforcement Learning (Remote)

Data Scientist - Reinforcement Learning (remote)

Imagine a workplace that encourages you to interpret, innovate and inspire. Our employees do just that by helping healthcare payers manage the cost of care, improve competitiveness and inspire positive change. You can be part of an established company with a 40-year legacy that helps our customers thrive by interpreting our client's needs and tailoring innovative healthcare cost management solutions.

Our commitment to diversity, inclusion and belonging are part of the fabric of our company.  We strive to create a workplace that fosters mutual respect and collaboration, where every talented individual can participate and perform their best work.  We are MultiPlan and we are where bright people come to shine!  

This is a work-from-home position

Multiplan pioneers innovative solutions for healthcare payments, drawing on unique insights and data analysis to create customized action plans to help our customers thrive.  This position focuses on developing a new product to better address our clients' claims management needs in the out of network space.  The Data Scientist will work with stakeholders across the business to identify opportunities, understand data, develop actionable insights, and work to implement those insights into practice.  Let's work together to improve our healthcare space!

Job Description
Do you have a passion for interactive machine learning - online learning, bandits, game theory, agent-based modeling, discrete-event systems, active learning, deeplLearning (DL), Reinforcement Learning (RL), multiagent systems? Are you excited about using your skills to help individuals improve their health?
Our Data Science team applies Advanced Analytics, Artificial Intelligence and Machine Learning to produce solutions that reduce customer health costs and improve outcomes and business processes.

Role Summary
Your work will require deep acquaintance with MultiPlan's data, seeking to find ways to deliver value through advanced feature engineering. From your models you will deliver actionable insights that can be incorporated into existing products as well as new programs. As a Data Scientist part of a cross functional team you will work closely with Data & Engineering to deliver production ready code that is robust and ready to scale.
The ideal candidate for this role will have strong coding skills (preferably in Python), a passion for creating technology to improve health care, and an attitude of creativity and continual learning.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Applies knowledge of interactive machine learning - online learning, bandits, game theory, agent-based modeling, discrete-event systems, active learning, deeplLearning (DL), Reinforcement Learning (RL), multiagent systems, and identify opportunities, pose business questions and make valuable discoveries leading to prototype development and product improvement.


• Solves unique and complex problems within healthcare payments and claims processing with broad impact on the business and patient care.


• Design, develop, tune, and test machine learning and deep learning solutions and systems.


• Collaborates with peers and senior leadership to ensure activities are appropriately integrated into the strategic direction, as well as the mission and values of the company.


• Collaborates with technology teams in developing technical solutions that will result in accurate and efficient data collection, data management and data reconciliation.


• Autonomously drive the development of machine learning models on a cloud-based infrastructure.


• Mine and analyze large structured and unstructured datasets. Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.


• Work across diverse teams, perspectives and opinions and quickly build consensus.


• Create visualizations of data that make distributions, trends, and results easy to understand for business leaders.


• Diagnose business need, analyze business process, data flows, technical artifacts and extract understanding of how the system or business process works as input into projects / solutions.


• Proactively develops, maintains, and evangelizes technical knowledge in Machine Learning and adjacent technologies. Keeps up to date on current trends and best practices.


• Performs assessments and listens to internal/external customers to understand and anticipate their needs and determine their priorities in the context of the overall enterprise.


• Operate within established methodologies, procedures, and guidelines; work independently in a fast-paced, agile environment.

Job Requirements: