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Data Engineer

Role overview

Qualifications

  • Master’s degree in Data Science, Statistics, Computer Science or related field
  • 2 years of experience as a Data Scientist, Data Engineer or closely related position
  • Experience with data wrangling and curation in Databricks using Python, SQL and R
  • Familiarity with Power BI Desktop and SQL Server Management Studio

Responsibilities

  • Lead the design and implementation of ML-LLM classification AI workflows
  • Provide leadership & analytics focused on Claims data for reports and analysis
  • Own end-to-end responsibility of dashboards, dataflows, and data pipelines
  • Partner with IT and governance teams to align technical implementations with policies

Key facts

Hard skills

Other skills

  • Leadership
  • Decision Making

About the company

KnowAboutNetwork logo

KnowAboutNetwork

  • News & Publishing
  • Small startup
  • 2–10
Global network of KnowAbout city business and event directories operated by independent affiliates. The KnowAboutNetwork offers an affordable business opportunity to operate your city's online directory. Features include a full virtual office to manage accounts, advertising, events, writers and more. Currently over 1500 sites worldwide.

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Job description

 

Company: Munich Reinsurance America, Inc.

Position: Senior Data Engineer

Location: Princeton, NJ, United States

Job Type: Full-Time

Salary Range: $120,700 to $120,700 per year

Duties: Lead the design and implementation of ML–LLM classification AI workflows for legacy/latent claims and topic detection algorithms. Provide leadership & analytics with a focus on Claims data that resides in reinsurance and insurance systems for reports and analysis. Lead data extraction, interpretation, architecting, modeling and transformation of business logics. Work with various complex databases containing data from multiple sources, at various granular levels, to deliver data of good quality for use in analytics and visualization projects. Own end-to-end responsibility of dashboards, dataflows, code repositories and data pipelines that enable outlier reporting and decision-making across the organization. Partner with IT and governance teams to align technical implementations with organizational policies and regulatory requirements.

Requirements: Master’s degree in Data Science, Statistics, Computer Science or related field plus 2 years of experience as a Data Scientist, Data Engineer or closely related position involving data modeling focused on the reinsurance/insurance field. Prior experience must include: Data curation and data pipelines development of internal and external reinsurance and insurance claims data; Data wrangling and curation in Databricks using Python, SQL and R; Development of data products together with data assets to produce business units dashboards for descriptive analytics focused on reinsurance and insurance claims systems; Utilizing Power BI Desktop, Dataflows and App for creating dashboards; Using FSRI package offered by SAP for insurance and reinsurance business; Using SQL Server Management Studio; Development of AI and LLM workflows to analyze and extract insights from claims data; Implementation of Machine Learning and Nature Language Processing algorithms; and, development of semantic data models and data architectures to support scalable analytics, reporting and BI solutions. May telecommute but must have ability to report to the Princeton, NJ office 3 times per week.

Benefits: Opportunity for company bonus based upon a percentage of eligible pay.  In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

 

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