Overview:

AAA Life Insurance is seeking a Data Scientist!

The Data Scientist will be responsible for leveraging data, advanced quantitative modeling, financial analysis and cloud-based machine learning technology to enable data-driven strategic decision making.

Responsibilities:

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 Lifes 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.

Qualifications:

Masters 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.

Preferred Experience

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

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