Role:Data Scientist / Statistician
Loc:Scottsdale, Arizona

Responsibilities

• Collaborates with business partners to provide advice on metrics, statistical methods and research design for development and evaluation of projects and programs.
  
• Negotiates and influences sound business decisions by applying knowledge of research methods and principles, industry standards and trends and business perspective.
  
• Develops and participates in presentations and consultations to existing and prospective constituents on information services, capabilities and performance results.
  
• Directs the development of statistical/analytical procedures, processes, policies, data reports and/or products and quality metrics that support internal and external constituents.
  
• Provides thought leadership and direction for analytic solutions, tools and studies.
  
• Perform tests on the accuracy and interpretability of the models
  
• Develop result reports to be used for improvements in business performance

Required Skills and Abilities:

• 3+ years of Statistical modeling, required
  
• Experience presenting complex statistical information to non-statisticians, required
  
• Expert with SQL or other relational databases, required
  
• Proven ability to proficiently data mine, required
  
• Experience with linear regression and predictive modeling, required
  
• Experience with qualitative and quantitative data analysis and reporting, required
  
• Experience with statistical modeling in R, required
  
• Experience with clinical trials or clinical outcomes analysis, a plus
  
• Healthcare industry experience, preferably with a health plan, a plus
  
• Excellent written and verbal communications skills
  
• Expert level attention to detail and organizational skills
  
• Excellent collaboration skills across departments and roles
  
• Proven ability to proactively manage multiple priorities
  
• Knowledge of health care industry, policy, research design, univariate and multivariate statistical analyses, predictive modeling, case-mix
  
• Knowledge of clinical risk adjustment, multivariate analyses, epidemiology or health economics research methods