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Job ID: 37793
Job Openings by Title Senior Director
Location Massachusetts, United States
Description:
Position:	Senior Director

Company:	Insurance

Location:	Massachusetts

Job ID:		37793


Responsibilities:

- Lead cross-functional R&D teams, including ODS, academic researchers, Corporate, and business-unit data scientists/analysts, doing hands on ML research in areas of:  
- Privacy preserving data science.
- Reducing social bias from training data and models.
- Developing robust and reliable ML.
- Developing explainable ML applications with algorithmic accountability.
- Lead a Privacy Preserving ML collaboration with a leading academic institution and the Company Privacy Office.
- Support development of DS/ML infrastructure that supports Trusted AI including integrating model controls that reduce risk of abnormal model behaviour.
- Collaborate with Enterprise Risk Management, Corporate Actuarial, and Global Compliance and Ethics on efforts to reduce the risk of data science and machine learning.
- Educate data scientists on model development and deployment best practices.
- Educate executives and business users on Trusted AI and the proper use of AI.
- Keep up to date on current literature, attend conferences, and run seminars to keep the company at the cutting edge of the field.
- Work with business units across the company to educate executives and business users on ethical considerations around AI, including proper usage of AI, algorithmic bias, and risk management.
 
Qualifications:

- Demonstrated experience leading projects related to the ethical application of data science.
- Proven ability to lead and drive high profile cross-functional projects and assignments to completion through others.
- A broad understanding of privacy-related technologies and frameworks such as differential privacy required.
- Experience building stakeholder trust and confidence in deployed models, especially via application of techniques in the fields of algorithmic bias, interpretable machine learning, and/or robust machine learning.
- Expert knowledge of machine learning.
- Expert knowledge of data science and machine learning current best practices.
- Experience modeling unstructured data including computer vision and/or natural language processing a definite plus.
- Competencies typically acquired through an advanced degree and 8 years of relevant experience or may be acquired through a Bachelor’s degree and 10 years of relevant experience.

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