Data Scientist (Mid-level) MidShift

About the role

Collaborate with business customers and engineers to translate business problems into technical solutions and deliver automated document extraction and data enrichment solutions. You will manipulate data using Python and SQL Server, develop ad hoc queries to investigate data anomalies and summarize data for pattern detection, and manually label and validate training datasets. Under supervision, you will use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources including loss history reports, insurance applications, claim files, and application scraping using OCR and generative AI.

Key responsibilities

• Collaborate with business customers and engineers to translate business problems into technical solutions and deliver automated document extraction and data enrichment solutions
• Manipulate data using Python and SQL Server; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection
• Manually label and validate training datasets
• Under supervision use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources
• Create technical documentation to archive end-to-end processes
• Implement evaluation frameworks using precision, recall, F1 scores, accuracy, and operational metrics
• Build solutions to monitor and continuously evaluate performance of implemented solutions
• Collaborate with experienced modelers to build predictive models and analytic solutions; apply machine learning techniques such as decision trees and clustering

About you

• Experience in manipulating, processing and extracting value from datasets
• Exposure to data science, software development, engineering or equivalent
• Detail-oriented with strong organizational skills
• Strong critical thinking skills to tackle complex data challenges
• Strong communication skills that convey statistical and business impact, proactively surface issues
• Comfortable working in a fast-paced and highly collaborative global team
• Experience in Python, SQL, and Git (3 years minimum experience)
• Bachelor's degree in data science, analytics, statistics, actuarial science, mathematics, engineering or similar quantitative fields; or significant experience in data analytics
• Preferred: Experience with evaluation frameworks, experimental design
• Preferred: Experience with OCR, NLP, and/or image analytics