Director II, Enterprise Data Science and AI Fundamentals MA
Company: Liberty Mutual
Location: Boston
Posted on: April 24, 2024
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Job Description:
Pay PhilosophyThe typical starting salary range for this role is
determined by a number of factors including skills, experience,
education, certifications and location. The full salary range for
this role reflects the competitive labor market value for all
employees in these positions across the national market and
provides an opportunity to progress as employees grow and develop
within the role. Some roles at Liberty Mutual have a corresponding
compensation plan which may include commission and/or bonus
earnings at rates that vary based on multiple factors set forth in
the compensation plan for the role.
Description How do we maximize the value of our research and
development teams, get to market quicker, create safeguards to
address increasing AI scrutiny, and work together to bring the
entire enterprise to bear on our most challenging problems?
You are the kind of data scientist who wants to help an entire
enterprise succeed. You want to help create tools and techniques
that make our models more reliable. 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 inspire others to
do their best, and to do better. You don't just see a problem in
code - you are excited to learn from it, to create a review process
to prevent it, and to build a tool to automate the problem away in
the future.
We are the Office of Enterprise Data and Data Science at 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 an ecosystem of tools used by all of our scientists. We work
cross-functionally with business leads, compliance, and platform
developers to tackle new problems that cross traditional market
divides. 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.
Responsibilities
Broadly set vision and act as technical/scientific advisor for how
to improve our Enterprise DS practice, via a combination of
development programs, risk management processes, community culture,
streamlining best practices, and similar initiatives.
In partnership with Enterprise Risk Management, Global Compliance,
and key DS leaders, create and streamline a Model Risk Management
program to identify our current AI footprint.
Help align research and governance initiatives for Generative AI
and other next-generation tech, and create programs to ensure we
experiment with integrity and speed.
Help define and measure technical capabilities such as Machine
Learning Operations (MLOps), High Performance Engineering, etc.,
and create programs and practices to drive adoption of best
practices.
Help collect, curate, and refine best scientific practices across
the enterprise, establishing common documentation, knowledge
sharing programs, training curricula, and development programs.
Create and maintain a culture of continuous learning and
collaboration across DS teams.
In partnership with our Data Offices and Legal counsel, help drive
strategy for advanced privacy protection using novel technologies,
including Privacy Preserving Analytics, Synthetic Data, Federated
Learning, Multiparty Communication, and other techniques to help us
better protect our customers' data while driving powerful
insights.
Work with business units across Liberty to educate DS, executives,
and business users on ethical considerations around AI, including
proper usage of AI, algorithmic bias, and risk management.
QualificationsBroad experience with hands-on modelling and DS
lifecycle activities, particularly in Python, and ability to
communicate at a high level with DS and non-technical leaders
Demonstrated ability to build trust with stakeholders
Demonstrated experience leading DS projects
Proven ability to lead and drive high profile cross-functional
projects and teams
Broad understanding of emerging scientific trends and techniques in
MLOps, privacy, interpretability, explainability, risk management,
bias and fairness, hallucinations, etc.
Competencies typically acquired through an advanced degree (in
Statistics, Mathematics, Data Science or other relevant field of
study) and 8 years of relevant experience or may be acquired
through a Bachelor's degree (scientific field of study) and 10
years of relevant experience.
About UsAt Liberty Mutual, our purpose is to help people embrace
today and confidently pursue tomorrow. That's why we provide an
environment focused on openness, inclusion, trust and respect.
Here, you'll discover our expansive range of roles, and a workplace
where we aim to help turn your passion into a rewarding
profession.
Liberty Mutual has proudly been recognized as a "Great Place to
Work" by Great Place to Work - US for the past several years. We
were also selected as one of the "100 Best Places to Work in IT" on
IDG's Insider Pro and Computerworld's 2020 list. For many years
running, we have been named by Forbes as one of America's Best
Employers for Women and one of America's Best Employers for New
Graduates as well as one of America's Best Employers for Diversity.
To learn more about our commitment to diversity and inclusion
please visit:
https://jobs.libertymutualgroup.com/diversity-inclusion
We value your hard work, integrity and commitment to make things
better, and we put people first by offering you benefits that
support your life and well-being. To learn more about our benefit
offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not
tolerate discrimination on the basis of race, color, national
origin, sex, sexual orientation, gender identity, religion, age,
disability, veteran's status, pregnancy, genetic information or on
any basis prohibited by federal, state or local law.
Fair Chance Notices
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Keywords: Liberty Mutual, Boston , Director II, Enterprise Data Science and AI Fundamentals MA, Executive , Boston, Massachusetts
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