Actuary - Value-Based Operations

Job Description:

Job Summary

Join the Cleveland Clinic team where you will work alongside passionate caregivers and make a lasting, meaningful impact on patient care. Here, you will receive endless support and appreciation while building a rewarding career with one of the most respected healthcare organizations in the world.

At Cleveland Clinic, everyone is a caregiver supporting our mission to provide world-class patient care. Utilizes statistical and machine learning techniques, high-performance data architectures and technologies to address complex business problems and analyze large, unstructured data sets. Assists senior/lead data scientist or project lead on advanced analytic requests. Provides guidance and insights into the daily operations of various Departments or Institutes.

A caregiver in this position works remotely from 8:00AM - 5:00PM.

A caregiver who excels in this role will:

• Engage business leadership, internal stakeholders and technology partners to discuss the business benefits that Machine Learning (ML) and Artificial Intelligence (AI) can provide.

• Lead evangelization and Data Science service education activities to stakeholders and internal customers.

• Lead problem formulation/model building and leverage Machine Learning (ML) and Artificial Intelligence (AI) technology, working directly with data to define analytics and synthesize findings that address customer requirements for value generation.

• Advise customers and prospects on technology and tool selection to best meet emerging analytics requirements and drive value-generation on existing and future data.

• Lead the launch and implementation of proof-of-concept projects and subsequently operationalize successful concepts.

• Actively contribute to scientific literature and academic partnerships.

• Actively contribute to Data Science education to stakeholders and internal customers, teaching the field how to communicate the vision and value of advanced analytics, qualify interested prospects and propose Data Science services.

• Lead in relationship development and technology evaluation for new prospective enterprise partnerships.

• Lead the instruction of Analytics University curriculum to Cleveland Clinic caregivers.

• Provide independent peer review model assessment and feedback communication.

Minimum qualifications for the ideal future caregiver include:

• Bachelor’s Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or a related field and six years of related experience working with relational databases and/or distributed computing platforms and their query interfaces, such as SQL, Teradata, MapReduce, PIG and Hive OR PhD and two years of experience OR Master’s Degree and four years of experience

• Excellent written, verbal, and presentation skills in English and ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders

• Experience working with a variety of statistical languages/packages (e.g., SAS, R, Python, Spark and/or SPSS)

• Knowledge applying advanced statistics to complex business problems (e.g. modeling, AI, ML, Deep Learning [DL] and/or Natural Language Processing [NLP])

• Familiarity with additional programming languages, including Python, Java, or C/C++

• Experience leveraging visualization software and techniques and business intelligence (BI) software

• Technical knowledge of distributed computing platforms and common data processes flows from data instrumentation & generation, to ETL, to the data warehouse itself.

• Demonstrated leadership qualities, including presentation, influencing and negotiation

Preferred qualifications for the ideal future caregiver include:

• Master’s or Ph. D.

• Certification or fellowship in analytics, big data, data science or related subject.

• Technology partner certification (in technology, Big data, business or advanced analytics, data science) – Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, Python.

• Healthcare or life science experience.

• Leadership experience.

• Lead Experience with project management and change management methodologies.

• Designation of ASA or FSA - Associate Society of Actuary's or Fellow Society of Actuaries

• Medicare advantage experience from an insurance company.

Details about physical and personal protective requirements, as well as employment policies, are also included in the full job description.