Top Tech Jobs & Startup Jobs

The Lead Data Scientist will design, develop, and deploy GenAI solutions, mentor teams, and translate business needs into analytical solutions. Responsibilities include developing end-to-end ML pipelines, presenting solutions to stakeholders, and ensuring efficient delivery of analytics solutions.

Lead assessment and design of Martech architecture to consolidate platforms, close integration gaps, define unified data and business flows, recommend solution designs, and support implementation planning and governance for AI-driven initiatives.

Lead development and scaling of enterprise data products for supply chain: translate business needs into end-to-end analytics solutions, manage delivery, coordinate cross-functional teams, build data roadmaps, ensure data accessibility, and present results to senior stakeholders.

The Databricks Architect will design and implement large-scale data solutions, optimizing performance and reliability, while leading initiatives in data engineering.

The Machine Learning Engineer will develop software solutions, optimize data pipelines, and deploy machine learning models using cloud platforms and best practices.

The Director of Analytics Consulting will lead analytics projects for CPG clients, translating business problems into high-level solutions and managing global teams, with a strong emphasis on data-driven insights and stakeholder engagement.

The Technology Partner leads client engagements in Data & Insights, providing technology leadership, thought leadership, and mentoring while driving transformation agendas and solutions development.

The Azure Architect will design and migrate enterprise technology products to Azure, guiding development teams through all stages while ensuring compliance and security.

Lead end-to-end data science initiatives, build ML models, collaborate with cross-functional teams, and communicate insights to business leaders.

Lead the design of data architectures in Multi-Cloud environments, oversee migration of legacy systems, develop predictive models, and mentor technical teams.