Lead Data Scientist, Incubation Lab - REMOTE

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Posted 9 days ago United States Salary undisclosed
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Job Description

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place. Overview of the PositionThe Incubation Lab is dedicated to driving innovation through AI within Commercial Lines Data Science at The Hartford. The lab focuses on sourcing and delivering innovative solutions for our Insurance portfolio by evaluating vendors in insuretechs, new cutting-edge technologies and building machine learning models. The Hartford seeks an energetic and passionate Data Science leader to focus on designing, developing, and implementing solutions that will modernize and transform our operations and business. This position requires domain expertise in areas such as deep learning, NLP, Image recognition, statistical or probabilistic modeling and data visualization. In this role, you will be leading data scientists working with some of most modern techniques in Machine learning and influence how AI/ML is leveraged in new ways for insurance applications across the firmSolutions that are developed will support a wide range of business areas which include underwriting, claims, operations, risk engineering, and digital analytics. As the Lead Data Scientist, you will focus on developing analytic and predictive modeling solutions that feature engineering assets, experimental design, as well as modeling techniques and abilities. Our Data Scientist toolbox consists of but not limited to predictive modeling techniques, Cognitive Computing, Unsupervised learning, and Augmented intelligence. As a Data Scientist you will support and explore those assets over time through customer adoption and establishing a rhythm within the data science community. Success will depend on your ability to collaborate and partner with business stakeholders and other data science teams in a way that supports the vision and sustains a culture that treats analytics as a corporate asset.Responsibilities+ Leading a team of data scientists to research and test cutting edge technologies & algorithms that drive operational efficiencies and improves the bottom-line. The role requires a healthy balance of hands-on work as well as peer reviewing the team's work.+ Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage+ Articulate cost-benefit analysis and value add of the ML solutions on operational decisions.+ Be a thought leader and go-to expert for AI/ML topics, strategy, and long-term vision on how to evolve and advance our Data Science & Engineering practice+ Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function+ Engage with technical and business stakeholders to define and design solution concepts+ Lead the design and implement complex technological Proof of Concepts and productsExperience + 6+ years of relevant experience in Data Science.+ Advanced degree in Math, Statistics, Computer Science, Physics, or other quantitative fields+ Experience in commercial markets insurance (i.e. Workers Compensation, General Liability, Property, Group Benefits, Specialty, etc.) a plus.+ Demonstrated Leadership and organizational abilitiesTechnical/Functional Skills + Experience in modeling data and analytical capability. Experience in several deep learning domains from NLP to image-based AI is desirable. Strong command of statistical knowledge behind algorithms wis required+ Experience in data engineering and big data technologies+ Expert level storytelling & presentation skills along with developed written communication skills.+ Coding in python+ Working knowledge of AWS is preferred+ Experience producing and rapidly delivering minimum viable product. Ability to work on innovative and new projects with a "fail-fast" approach to provide optimal solutions that bring the most value to the business + Experience with ESRI and ArcGIS is desirableCompetencies + Ownership: Drive and commitment to what is necessary to get the job done efficiently, thoroughly, and professionally. + Innovative: Seeks new and creative ways to approach analytical exercises and development projects.+ Results-oriented: Demonstrates a sense of urgency and accountability for business issues.+ Customer focused: Builds effective relationships within the data science community and strong cross-functional partnerships with business and technology teams. Support a high-performance collaborative culture CompensationThe 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:$132,400 - $198,600BenefitsOur company's success is due to our employees' dedication and passion for their work. They are our greatest asset. That's why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit for details. Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age Dir Data Science - GD06AEHuman achievement is at the heart of what we do.We believe that with the right encouragement and support, people are capable of achieving amazing things.We put our belief into action by ensuring individuals and businesses are well protected, and by going even further - making an impact in ways that go beyond an insurance policy.Nearly 19,000 employees use their unique talents in careers that span a variety of disciplines - from developing the latest technology to creating and promoting our products to evaluating future financial risks.We're also committed to programs that drive education and support volunteerism, which put human beings first. We do it because it's the right thing to do, and because when our customers, communities and employees succeed, we all do.Privacy Policy () Legal NoticeAccessibility Statement () Producer Compensation EEO ()