Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. Youll design, develop, and maintain scalable data pipelines and
The Sr. Digital Insights Analyst will serve as the insights technical leader on the Assortment Analytics team, working hand-in-hand with the Product Manager and data tech lead to make sense of complex data across multiple domains.
Job Description SummaryThe CES Business Intelligence team is building the next generation of AI-powered solutions for commercial, contracts, and operations. Were looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine
Associate Actuary (Medicare Pharmacy Trend Analytics) - CarelonRx Associate Actuary (Medicare Pharmacy Trend Analytics) - CarelonRx Hybrid: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to
Internal Audit Assistant Director - Data Analytics & Artificial Intelligence ADMs Internal Audit function is undergoing a strategic transformation embedding advanced analytics and artificial intelligence at the core of how we deliver assurance, manage risk, and
Key Responsibilities: • Own and improve the reliability, availability, observability, and operational supportability of Maximus UKs Azure Databricks platform, Azure data services, and associated data pipelines and data products. • Design and implement monitoring, alerting, health checks,
Company Overview 84.51 knows customers, and we know how to connect you. Using a sophisticated, proprietary suite of tools and technology, we turn customer data into actionable knowledge. With unparalleled customer data and predictive analytics capabilities,
- We are looking for a Director, Data Engineering, to lead the continued optimization and maturation of our existing large-scale data platform. This is hands-on technical leadership role: roughly 60% of your time will be spent
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side