Responsible for receiving, informing, and executing projects that entail the entire scope of the data science and actuarial pipeline which include, but are not limited to: integrating disparate and centralized data into data marts, developing statistical models, designing and automating report distribution while continuously presenting and re-assessing results in support of initiatives. This position will both lead and support interdisciplinary collaboration to identify opportunities and deploy adaptive analytic strategies to provide measurable improvements in value-based reimbursements for care delivered.
Education
Bachelor's degree in actuarial science, Math, Statistics, Computer Science, Economics, or related Quantitative discipline (Required)
Work Experience
2+ years Working with complex analytic situations, health insurance, or health claims data (Required)
Proficiency with SQL/complex SQL queries (Required proficiency)
Experience with at least 1 advanced programming method (e.g. Python, R, etc.) (Required proficiency)
Ability to work independently and use creative approaches to problem-solving but know when to seek help from other team members (Required proficiency)
Optimistic, self-directed performer capable of complex decision making and communication (Required proficiency)
Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models (Required proficiency)
Capable of gathering and validating requirements, articulating the pros and cons of different analytic approaches, estimating timelines for completion of work, and predicting potential challenges to producing accurate time estimates and analytic plans. (Required proficiency)
Working knowledge of emerging technology platforms (Required proficiency)
Advanced proficiency in Excel, Word, and PowerPoint (Required proficiency)
Successful progress towards Associate of the Society of Actuaries (ASA) designation. (Required proficiency)
Experience with healthcare claims data (e.g. Hospital/Health System, Payor, or Consultant) (Required proficiency)
Experience in data visualization and ability to communicate results to a non-technical audience (Required proficiency)
Experience being part of strategic projects with high visibility and impact with many internal and external teams involved (Preferred proficiency)
Experience providing insights to executive stakeholders (Preferred proficiency)
Strong understanding and experience in researching and resolving data issues with a logical, instinctive mentality working with large, complex and incomplete sources (Preferred proficiency)
Ideal candidate will have passed 3 or more actuarial exams. (Preferred proficiency)