Shout out to all Data Science SME’s!

This company is seeking a Senior Corporate Data Scientistto produce Data Science solutions in support of senior management’s strategic goals. In this role, you would use analysis and scientific methods to predict the behavior and attitudes of customers and prospects in order to increase profitable acquisition, retention and cross-selling. A primary focus of this role involves proposing, developing and implementing predictive models. The department is moving from a SAS-oriented focus to deploying models with Docker and AWS Sagemaker.

Key Responsibilities:

• Developing end-to-end Data Science solutions to support strategic objectives and senior management's goals. This includes collaborating with the business to understand and define the problem statement, data extraction and transformation, model training and tuning, and deployment.
• Analyzing general economic trends
• Participating on teams throughout the company that require advanced analysis

Qualifications:

• Master’s degree in analytical-focused discipline such as Data Science, Mathematics or relevant discipline…. OR relevant work experience
• 6 years’ experience in the field of business intelligence, application development, database development, ETL, or machine learning.
• 2 years’ experience building, training, and deploying machine learning (ML) models with Amazon SageMaker on the Amazon Web Services (AWS) Cloud.
• 2 years’ of Python programming experience
• Experience with visual analytics tools such as Tableau or PowerBI.
• Excellent written and verbal communication skills to interact with senior management, marketing personnel, technical personnel, actuaries and representatives from other business units and outside suppliers.
• Ability to effectively provide leadership to operational teams.

Preferred:

• Spark or PySpark experience
• Project management experience
• Insurance Industry experience