Top Tech Jobs & Startup Jobs

Lead design and implementation of a Databricks-driven data ecosystem, including lakehouse/EDW, IoT and streaming ingestion pipelines, ILM, global data governance, and dataset creation for advanced analytics.

Develop and optimize assortment strategies using statistical forecasting and data analysis. Analyze product, inventory, and financial metrics, partner with stakeholders, produce data-driven recommendations, monitor performance, and support demand planning initiatives.

Lead enterprise-scale Data & Analytics architecture and cloud modernization initiatives using AWS and Databricks. Assess legacy ecosystems, design target-state lakehouse and data warehouse solutions, define migration roadmaps, drive architecture governance, advise CXO stakeholders, and mentor delivery teams while ensuring security, scalability, and data governance.

Lead development and refactoring of optimization algorithms and end-to-end ML pipelines for supply chain, pricing, and inventory allocation. Build predictive models, use mathematical programming solvers, run experiments, monitor KPIs, and collaborate with stakeholders to drive replenishment and allocation improvements.

Design and implement high-performance APIs and microservices using Python and AWS, focusing on generative AI and scalable applications.

The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to develop analytics engines and collaborate with teams to enhance business value and communication of results.

Lead analytics consulting delivery, manage client relationships, drive account growth, and collaborate with teams to develop strategic analytics solutions for CPG and Retail clients.

Lead the requirements gathering, analysis, and documentation for banking systems. Collaborate with stakeholders to define functional requirements and drive end-to-end project delivery, ensuring compliance with banking standards.

The Integration Engineer will configure Adobe Workfront, develop integrations using Workfront Fusion, and optimize marketing workflows and automation processes. They will collaborate with multiple teams and manage project tracking within the Workfront platform.

Design, develop, and deploy causal inference and predictive models (uplift, synthetic control, DML) for customer loyalty, churn, and LTV. Build foundational data models and scalable features, perform large-scale SQL ETL, operationalize models in cloud, partner with stakeholders, and present insights to drive revenue and loyalty program optimization.