Data Scientist

2 days ago


Charlotte, North Carolina, United States The Hartford Full time
About The Hartford

The Hartford is a leading insurance company that goes beyond coverages and policies. Our mission is to make a difference in the lives of our customers, employees, and communities. We're proud to be an organization that values human achievement and encourages individuals to reach their full potential.


Job Description

We're seeking a highly skilled Data Engineer to join our Global Specialty Data Science & Analytics team. As a Data Engineer, you will design, develop, and implement modern and sustainable data assets to fuel machine learning and artificial intelligence solutions, as well as business intelligence assets and other analytic work across a wide range of strategic initiatives.


Main Responsibilities:
  • Participate in developing high-quality, scalable software modules for next-generation analytics solution suites.
  • Engage with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
  • Formulate logical statements of business problems and devise, test, and implement efficient, cost-effective application program solutions.
  • Identify and validate internal and external data sources for availability and quality. Work with SMEs to describe and understand data lineage and suitability for a use case.
  • Create data assets and build data pipelines that align to modern software development principles for further analytical consumption. Perform data analysis to ensure quality of data assets.

Requirements:
  • 2+ years of relevant experience recommended.
  • Bachelor's degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline.
  • Experience in Python and SQL.
  • Experience in ingesting data from various structures, including relational databases, Hadoop/Spark, cloud data sources, XML, JSON.
  • Experience in ETL concerning metadata management and data validation.
  • Experience in Unix and Git.
  • Experience in Automation tools (Autosys, Cron, Airflow, etc.).
  • Exposure to AWS Services (i.e., S3, EMR, etc.) a plus.
  • Experience with Cloud data warehouses, automation, and data pipelines (i.e., Snowflake, Redshift) a plus.
  • Able to communicate effectively with both technical and non-technical teams.
  • Able to translate complex technical topics into business solutions and strategies.

Estimated Salary Range:

$97,600 - $146,400 per year.


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