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Data Science Director

1 month ago

Chicago, Illinois, United States The Hartford Financial Services Group Full time
About the Role

The Hartford Financial Services Group is seeking a highly skilled Director of Data Science to lead our Language AI Enablement team. As a key member of our organization, you will be responsible for developing and implementing NLP and Gen AI solutions across various strategic initiatives.

Key Responsibilities
  • Manage a team of Data Scientists and Data Engineers to design, develop, and maintain robust tools using unsupervised techniques.
  • Support upskilling journeys tailored to the needs of your partners in close collaboration with your team.
  • Evaluate best practices in the NLP and Gen AI space to guide the direction of our Data Science community.
  • Lead or support cross-functional projects with your expertise to achieve financial objectives, solve business problems, and identify long-term opportunities that improve the customer journey.
  • Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function.
  • Advance the department's capabilities by creating and deploying long-term tools to continually evolve the practice of data science.
  • Collaborate and partner with data science and business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset.
  • Develop strategies to achieve targeted business objectives and implement these strategies to successful conclusion.
  • Participate in the talent management process for hiring, onboarding, training, and development of staff.
Qualifications
  • 8+ years of relevant experience recommended.
  • Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.
  • Experience with managing Data Scientists and Data Engineers and providing guidance through solution development.
  • Expertise in statistical modeling, inference, and building machine learning algorithms in Python.
  • Expertise in Unix and Git.
  • Expertise in the end-to-end solution lifecycle, from requirements gathering to monitoring and validation.
  • Experience building solutions in cloud-native environments, such as Sagemaker.
  • Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution.
  • Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning is a plus.
  • Experience with NLP or CV is a plus.
Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency, and demonstration of competencies required for the role.

The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.

The annualized base pay range for this role is: $148,000 - $222,000