Director of Data Science
4 hours ago
We are seeking a highly skilled Director of Data Science to lead our team of Data Scientists and Data Engineers in developing innovative solutions using Natural Language Processing (NLP) and Generative AI. As a key member of our Language AI Enablement team, you will be responsible for driving business outcomes through data-driven insights and strategic decision-making.
Key Responsibilities- Manage a team of Data Scientists and Data Engineers to develop, test, and maintain robust tools using unsupervised techniques.
- Support upskilling journeys for team members and partners in close collaboration with stakeholders.
- Evaluate and evolve best practices in the NLP and Gen AI space to guide the direction of our Data Science community.
- Lead or support cross-functional projects 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 to support the vision and sustain 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.
- 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.
The Hartford Financial Services Group offers a competitive compensation package, including a base salary range of $148,000 - $222,000, as well as opportunities for short-term or annual bonuses, long-term incentives, and on-the-spot recognition.
We are an equal opportunity employer and welcome applications from diverse candidates. If you are a motivated and experienced professional looking to make a difference in the field of data science, we encourage you to apply for this exciting opportunity.
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