Associate Data Scientist - Charlotte, United States - The Hartford
Description
Assoc Data Scientist - GD08BE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies.
The Hartford seeks an Associate Data Scientist within the telematics analytics team.
As an Associate Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies for the telematics program; and design, develop, implement, and evolve modeling solutions.
We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value.
This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.
This role will have a Hybrid work arrangement, with the expectation of working in an office location 3 days a week (Tuesday through Thursday)Office Locations:
Charlotte NC; Hartford, CT; Chicago, IL; Columbus, OH; San Antonio, TX; Lake Mary, FL
Must be eligible to work in the US without company sponsorship
Responsibilities:
Assist in creating statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems for the telematics program
Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations
Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage in telematics
Participate in the creation and deployment of long-term tools to continually evolve the telematics program.
Contribute to the successful implementation of strategies to achieve targeted business objectives
Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions
Qualifications:
Preference for 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
Exposure to statistical modeling, inference, and building machine learning algorithms in Python
Exposure to SQL and navigating databases to extract relevant attributes
Exposure to Unix and Git a plus
Exposure to the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
Exposure to building modeling solutions in cloud-native environments, such as Sagemaker, a plus
Able to communicate effectively with both technical and non-technical teams
Able to translate complex technical topics into business solutions and strategies
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:
$78,320 - $117,480
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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