Lead Data Science Analyst - Mount Sinai Health Partners

Job Description

Strength Through Diversity

Ground breaking science. Advancing medicine. Healing made personal.

Roles & Responsibilities:
The Lead Data Science Analyst is a senior-most analyst, collaborating with stakeholders from across the organization to develop sophisticated analytics to provide information, insights and BI (Business Intelligence) solutions that contribute to sound strategic planning, decision-making, goal setting, and effective performance measurement. The Lead Data Science Analyst demonstrates sound and a more advanced understanding of the healthcare domain, technical data manipulation and analytic development skills and impact the patient community of the Mount Sinai Health System. Serves as mentor to others on the team and takes the lead role in project initiatives.

  • Responsible for the design and implementation of data-driven insights to enable value-based contracts and commercial offerings. S/he supports the contract lifecycle from initial development and planning, through pre-sale and implementation, to reconciliation. 
    • During planning phase: analyzes variance to identify opportunities and risks; develops pro-forma scenario models of contracts and terms; creates reports to guide negotiations with prospects
    • During implementation: forecasts performance results and supports client-specific areas of interest.
    • During reconciliation: measures performance of our products across financial, patient satisfaction, and quality outcomes. Applies performance evaluation that fulfills contract terms and, when appropriate, the demands of rigorous outcomes research methodology.
  • Works with departmental staff to identify requirements for reporting and / or business intelligence tools.
  • Identifies necessary data and methodologies; collects, integrates, analyzes and interprets data.
  • Leverages advanced statistical analysis methods to create insightful recommendations and conclusions that are effectively communicated to assigned stakeholders.
  • Partners with and mentors junior data science analysts through the design and development of analytic deliverables.
  • Identifies and addresses expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions. Clearly communicates data issues to the recipients and works to improve data quality where possible within the analytical models created. Feeds data quality issues back to IT to assist in the objective of obtaining high quality data.
  • • Develops and presents reports, analyses and findings to senior management and others as scheduled or requested.
  • Engages with the MSHP Managed Care Contracting and Commercialization teams and interface with key leaders in our care management and clinical service lines.
  • Acts as liaison/analyst for internal stakeholders, understands their needs and translate them into reporting and analytic solutions.
  • Other duties as assigned
  • Minimum of Master’s degree in a relevant field of study; PhD degree preferred.
  • 7-10 years of relevant experience, preferably working in a health plan or consulting actuarial, financial reporting or medical economics departments or healthcare provider analytics related to managed care contracting, population management, clinical or financial decision support, with at least 2 years experience building or leading the development of advanced statistical models.
  • Strong data mining skills using tools like SQL, R, Python, SAS, etc.
  • Strong analytical skills, with the ability to perform complex analysis and make recommendations based on statistical inferences. Experience with a wide variety of analytical or statistical methods.
  • Strong working knowledge of Business Intelligence products (Tableau, SAS, MicroStrategy, etc.)
  • Excellent oral and writing skills; ability to communicate effectively with varying audiences.
  • Demonstrated ability to articulate goals, plan and implement processes to achieve those goals, recognize and assess the implications of confounding variables, and meet deadlines.
  • Advanced interpersonal (e.g., mediating, mentoring, teaching) skills required to service internal and external clients effectively.
  • Self-motivated with a demonstrated ability to work independently, and to exercise independent judgment in developing complex techniques or programs in a dynamic environment.
Strength Through Diversity

The Mount Sinai Health System believes that diversity and inclusion is a driver for excellence. We share a common devotion to delivering exceptional patient care. Yet we’re as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education and advancement as we revolutionize healthcare delivery together.
We work hard to recruit and retain the best people, and to create a welcoming, nurturing work environment where you have the opportunity and support to develop professionally. We share the belief that all employees, regardless of job title or expertise, have an impact on quality patient care. 

Explore more about this opportunity and how you can help us write a new chapter in our story! 

Who We Are

Over 38,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve.
Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospitals, including Mount Sinai Beth Israel, Mount Sinai Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai St. Luke’s, and New York Eye and Ear Infirmary of Mount Sinai.
The Mount Sinai Health System is an equal opportunity employer. We promote recognition and respect for individual and cultural differences, and we work to make our employees feel valued and appreciated, whatever their race, gender, background, or sexual orientation. 

EOE Minorities/Women/Disabled/Veterans


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