• Corporate Consulting Services
  • $101,556.67 -184,780.00/year*
  • Boston , MA
  • Information Technology
  • Full-Time


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Job Description:

Description: The Benchmarking group on our Financial Planning and Analysis (FP&A) Data Science team answers questions from CFOs and CMOs such as how can flu cases be estimated for the upcoming season, why are hospital admissions higher or lower this year, and how can we predict utilization and financial impacts when strategies change. We apply predictive analytics and actuarial science techniques to answer these questions: building regression models to assess intensity of illness and risk of specific types of utilization, assembling completion factors to accurately forecast claims, and using business judgement. The ideal candidate would possess this technical prowess and be excited about interacting directly with stakeholders, collaborating, and communicating results. Job Purpose: This position is responsible for employing advanced analytical techniques to create and drive adoption of data-based products and processes to add business value for internal and external customers. They will use data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights. They will leverage domain expertise and communication skills to identify data-based solutions to customer needs, and present and explain technical findings to non-technical audiences to promote data-driven decision making. They will create analytical processes for automated machine driven decision making where human decision making is not scalable or feasible. Job Responsibilities: * Apply data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights. * Leverage domain expertise and communication skills to identify data-based solutions to customer needs. * Develop, create, and implement data-based products and processes to add business value for internal and external customers. * Develop, create, and implement analytical processes for automated machine driven decision making where human decision making is not scalable or feasible. * Present and explain technical findings to non-technical audiences to promote data-driven decision making. * Identify new data sources, drive collection of data, and identify use cases for existing data sources. * Document steps and data sources and ensure that models and processes are easily understandable and maintainable. * Document steps and data sources and ensure that models and processes are easily understandable and maintainable. * Communicate and interact effectively and professionally with co-workers, management, customers, etc. * Comply with HIPAA, Diversity Principles, Corporate Integrity, Compliance Program policies and other applicable corporate and departmental policies. * Maintain communication with management regarding development within areas of assigned responsibilities and perform special projects as required or requested. Required Job Qualifications: * Bachelor's degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential or Master's degree and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 6 years experience in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field. * Strong learning and growth mindset * Customer-focused * Strong interpersonal, verbal and written communication skills. * Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare. * Proficiency with Microsoft applications including Access, Excel, Word and Power Point. Preferred Job Qualifications: * Masters or Ph.D. in a quantitative field, or bachelors degree with significant healthcare experience. * Finance experience * Benchmarking experience * Actuarial background This position is based in Chicago, IL. Relocation will not be provided for this position. Sponsorship will not be provided for this position. Location: IL - Chicago Activation Date: Tuesday, January 29, 2019 Expiration Date: Saturday, February 16, 2019
Associated topics: business, business analyst, capital, commercial, economics, economy asset, estate, financial, gs 0110 12, investment

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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