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Towards AI, Inc.

Mid/ Senior Data Scientist - Time Series Project

Towards AI, Inc., Jersey City, New Jersey, United States, 07390

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Mid/Senior Data Scientist - Time Series Project Verisk Share this job

Krakow, Poland Full Time Role Highlights Python Data Science Data Governance Time Series Computer Science Product Development Problem Solving Operations Research Critical Thinking Statistics Quantitative Mathematics Economics Cloud Automation Sustainability

Tools, Libraries and Frameworks

AWS HTTP

Description

Verisk is seeking a skilled Data Scientist to lead projects targeting the US insurance market. The role involves developing and deploying statistical and machine learning models to achieve business goals while complying with regulatory standards. The Data Scientist will analyze structured and unstructured data, solve complex problems, and collaborate across teams to deliver strategic solutions. Presenting insights to stakeholders and staying abreast of advanced techniques is also required. Required Qualifications and Skills

The candidate should hold a graduate degree in a quantitative field such as statistics, mathematics, or computer science, with at least two years of data science experience in a business environment. Strong skills in exploratory data analysis, feature engineering, and understanding of the data science lifecycle are essential. Extensive knowledge of statistical and machine learning methods, proficiency in Python, and familiarity with AWS cloud services are also required. Disclaimer: Some information may have been generated via GPT-4 summarization and could contain inaccuracies. Please refer to the full external job listing for authoritative details. Verisk provides data-driven insights to help businesses and societies become more resilient and sustainable. Since 1971, we have used data and technology to make a positive impact, helping to manage risks and protect communities worldwide. With over 9,000 employees globally, Verisk is committed to societal and environmental responsibility, recognized as a Great Place to Work in multiple countries, and part of the UN Global Compact. #J-18808-Ljbffr