16 total jobs
5 new jobs this week
Apply data science, machine learning, statistical modeling, and analytical problem-solving to complex real-world challenges, drawing on experience in high-performing technology environments and strong quantitative expertise.
Evaluate AI-generated data science and quantitative solutions, create prompts, datasets, and reference answers, and provide rigorous feedback to improve model accuracy and reliability.
Build and maintain statistical, predictive, and causal analytics for local government datasets, turning community trends into clear insights while automating data workflows and supporting client projects.
Build and improve AI-powered applications for an AI platform, using language models, retrieval systems, and agentic workflows to turn structured and unstructured data into reliable product capabilities.
Analyze structured and unstructured data to uncover actionable insights, build dashboards and predictive workflows, and help cross-functional teams make informed business decisions.
Evaluates data and AI technologies, develops models and pipelines to assess migration risk and data quality, and coordinates customer migration projects while turning operational findings into product and architectural recommendations.
Rebuilds, tests, and documents reports as reporting assets move from SAP BusinessObjects to Qlik, using SQL to validate data and supporting migration work under senior developersโ guidance.
Evaluate data science work for future projects by developing grading criteria, assessing analyses and models, documenting evidence-based scores, and refining evaluations through reviewer feedback.
Build and evaluate predictive lending models, analyze consumer risk and portfolio trends, and partner with engineering and business teams to improve underwriting strategies, model monitoring, and data-driven decisions.
Optimize payment-risk decisioning by analyzing rules, thresholds, segments, and review strategies, then turning experiments and data into recommendations that reduce unnecessary reviews while maintaining loss performance.
Deploy and optimize data science solutions with customers, from proof of value through production, benchmarking models and translating technical findings into business impact and product roadmap inputs.
Analyze clinician behavior across extensive datasets, develop product and client-facing analytics, and lead data projects from ingestion through recommendations in collaboration with product, engineering, and analytics teams.
Develop and deploy customer-focused AI and data science solutions, translating user needs into production workflows through rapid prototyping, customer feedback, and close collaboration with cross-functional teams.
The Data Scientist integrates customer data and develops, validates, and communicates simulation models, visualizations, and recommendations that support healthcare decisions and measurable customer impact.
Build machine learning and AI systems for hospitality pricing, forecasting, and revenue management, turning complex data and ambiguous business questions into scalable product capabilities and actionable decisions.
An Associate Engineer in Data Science works with technology and colleagues to tackle challenging problems, contributing to digital product engineering work.
