Data Scientist

• Develop, automate, interpret and monitor predictive models.
  • Identify, collect, verify and prepare data for use in modeling engagements
  • Design and construct datasets to facilitate the modeling process
  • Develop procedures and standards regarding predictive modeling
  • Utilize variable selection/engineering techniques to prioritize variables for model development
  • Build and implement response models for all customer touchpoints
  • Design and implement metrics to monitor model expectations against experience to determine areas of model weakness
  • Leverage cloud based machine learning tools to automate common modeling pain points
• Collaborate with Data Engineering and Analytics Engineering to design and implement modelling data quality standards, identify keymodel performance metrics and develop reports that monitor the performance of models in market.
• Report actionable findings to management and recommend improvements and/or solutions, such as alternative products, package, segmentation, or modeling.
• Research innovations in technology and modeling techniques that can improve AAA Life’s ability to market to its customers. Report to management feasibility of use within AAA Life Insurance Company.
• Present findings, share insights, and make recommendations that affect profitability, growth and/or customer satisfaction.
• Effectively communicate results in written, oral and presentation formats.
• Manage and prioritize multiple moderate-to-highly complex projects including gathering business requirements, developing project goals and requirements, coordinating project timelines, and communicating project status and deliverables with customers and management.

• Master’s Degree in a quantitative field (Statistics, Computer Science or Mathematics is preferred).
• 3-5 Years developing, validating and optimizing predictive models in a non-academic production environment.
• 3-5 Years experience with R or Python.
• 3-5 Years experience using SQL to query enterprise scale relational and/or non-relational database systems.
• Experience with statistical/ML models: GLM's, Bayesian Analysis, Random Forests, Gradient Boosting, Survival Analysis, Clustering, Nueral Networks etc
• Ability to perform high-level work both independently and collaboratively as a project team member or leader.
• Strong verbal and written communication skills, interpersonal skills, and the ability to communicate technical results clearly and effectively to a non-technical business audience.

• Experience with AWS automated machine learning tools such as Sagemaker.
• Experience automating manual processes using Linux.
• Experience with modern machine learning frameworks such as TensorFlow, PyTorch or MXNet.
• Knowledge of insurance principles, underwriting and ratemaking concepts and the various functions of an insurance organization, including Finance, Underwriting, Sales and Claims desirable.

What We Offer:

• A collaborative, energetic work environment where you can put your passion for people to work
• Medical, Dental, Vision, Life and Disability coverage available day one
• Pension Plan
• Performance-based incentive plan
• 401k available with a Company match
• Holidays and Paid Time Off
• AAA Basic Membership