The Hartford

Senior Data Scientist

The Hartford

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $110,720 - $166,080 per year

Job Level

Senior

Tech Stack

AssemblyCloudPythonSQLUnix

About the role

  • Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey
  • Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset
  • Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Product Owners
  • Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
  • Contribute to 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
  • Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows

Requirements

  • 5+ 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
  • Proficiency in statistical modeling, inference, and building machine learning algorithms in Python
  • Proficiency in SQL and navigating databases to extract relevant attributes
  • Proficiency in Unix and Git
  • Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
  • Experience 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 as well as turn business requirements into a technical solution
  • Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
  • Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.