Principal Data Scientist Risk

Overview

The Principal Data Scientist Risk will apply knowledge and experience to real world problems and seek to utilize their skills reduce the cost of healthcare and improve health quality and outcomes. With access to dedicated on-premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.

Responsibilities

As Principal Data Scientist - Risk within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow risk reviews and documentation of models on our machine learning platform for production execution and monitoring.

• Owns and plans risk/review process for AI solutions across the Enterprise.
• Designs risk and model validation plans with milestones and independent verification.
• Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.
• Applies appropriate Responsible AI principles, documentation and monitoring process
• Helps plan, manage and execute risk and control delivery of issues, vulnerabilities, control processes, for any Audits
• Assess and drive efficiencies in existing risk framework for Machine Learning Development Lifecycle & MLOps to create a risk aware continuous compliance mind-set
• Identify, implement, establish risk reduction governance to mitigate failed internal processes, inadequate risk identification and controls, and emerging risks
• Plan and perform testing of new functionality and regression testing of technology/risk compliance related requirements
• Partner with cross LOB stakeholders to establish and deliver firm wide control standards and proceduresincluding adherence to controls in technology and cyber risk domains ( ex - application security,vulnerability management, data management )
• Assess technology and operational risks as AI-ML Technology products evolve with adoption, to effectively define risks and remediation plans
• Provide updates on product/program and create risk management summary reports to senior leaders
• Work with production operations to deploy your model into production and support them in monitoringmodel performance.
• Participate in other data science teams collaborating with your peers to support their projects.
• Participate in knowledge sharing sessions to bring new insights and technologies to the team.
• Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
• Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation. 

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

Qualifications

• Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
• 5+ years of experience in product and technology governance/risk/compliance management in regulated industries ( e.g. healthcare analytics ) in addition to 5+ years as hands on AI/Data Scientist
• Familiar with industry standards, frameworks and recognized best practices such as AIML NIST Framework, PCI, SOC, HI