5-8+ years of relevant experience in data-focused software engineering
Master’s Degree or Ph.D. in data science, computer science, or related quantitative field such as applied mathematics, statistics, engineering or operations research, or equivalent experience.
Experience working with Python-based server-side web frameworks like FastAPI or Django
Strong knowledge of SQL and familiarity with the high-level properties of modern data stores.
Strong understanding of the contemporary SDLC, including dev/QC/prod environments, unit/integration/UA testing, CI/CD, etc.
Experience building and maintaining CI/CD pipelines with tools such as Azure DevOps, GitLab, Travis, Jenkins, etc.
2+ years of data analysis, AI, or data science work.
Experience with data cleaning, enrichment, and reporting to business users.
Extensive experience with (py)Spark, Python, JSON, and SQL.
Experience integrating data from semi-structured and unstructured sources.
Knowledge of various industry-leading SQL and NoSQL database systems.
Experience with or strong interest in learning about LLMs in a productized context.
ADDITIONAL QUALIFICATIONS:
Strong understanding of entity resolution, streaming technologies, and ELT/ETL frameworks.
Experience with web scraping and crowdsourcing technologies.
Experience with Databricks and optimizing Spark clusters.
Experience architecting web ecosystems from the ground up, including monolith vs. microservice decisions, caching technologies, security integrations, etc.
Experience working with data visualization dashboarding tools (PowerBI, Tableau).
Insurance domain knowledge or strong interest in developing it.