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 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.
Qualifications
- 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.
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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