Aartificial intelligence, Algorithms, Data science techniques, Generative AI, Large Language Models - LLMs, Machine learning techniques, MLOps tools
If I told you this job description was not written by ChatGPT... would you believe me?
Could you prove it? Is there an analysis to show the likelihood this text was generated by a human, versus a generative Large Language Model? Could you explain this algorithm to a lawyer, and would they believe you?
How many job descriptions... from Liberty or otherwise... do you think are currently written with GenAI? Is this a problem? What should be the message to our Talent Advisors... what types of review processes should we put in place to ensure this new tool is used appropriately in a sensitive field? On the other hand, how should we engage our Data Scientists to succeed at driving value with these new tools? Can we investigate tools to better track our successes in Prompt Engineering, or otherwise build up a better MLOps practice for LLM’s and GenAI?
You are the kind of scientist who puts integrity first, and wants to help an entire enterprise succeed. You want to help create tools and techniques that make our models more reliable, and don’t just slow innovation via excessive governance. You create best practices to help DS get to market quickly. You find ways of measuring talent and tech debt, and you are excited to build a culture around continuous improvement with your colleagues. You don’t just see a problem in code, you see a technique to avoid it, a process to prevent it, and a talent development program to carry the torch forward.
We are the Office of Data Science in Liberty Mutual, a central group whose mandate is to make it easy for our DS talent to excel across all markets. We help build advanced AI solutions, create a culture of learning and collaboration, and curate the ecosystem of tools used by all of our scientists. We work cross-functionally with business leads, compliance, and platform developers to bring the whole enterprise to bear on Liberty’s most challenging data and predictive challenges.
If you want to be at the center of an enterprise whose life blood is predictive analytics and machine learning, and you strive to make things better... join us! As Director of Responsible AI & Data Science Fundamentals, you will be responsible for vision and strategy for many of our initiatives across talent development, risk management, and operational excellence for data scientists. You will collaborate with or lead cross-functional teams of scientists, platform architects, lawyers, policy experts, and business leads. This is a highly exciting, challenging, and impactful role at the intersection of some of the most important issues facing the world today.
Responsibilities
Qualifications
Liberty Mutual Group is an American diversified global insurer and the sixth-largest property and casualty insurer in the United States. It ranks 71st on the Fortune 100 list of largest corporations in the United States based on 2020 revenue.
Somerville, MA, USA
2-4 year
Boston, MA, USA
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Boston, MA, USA
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Seattle, WA, USA
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Seattle, WA, USA
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Seattle, WA, USA
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United States
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United States
2-4 year
Boston, MA, USA
0-2 year
Portsmouth, NH, USA
0-2 year
Seattle, WA, USA
0-2 year
Boston, MA, USA
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