We are seeking a skilled and versatile Data Science Manager to join our growing team. In this role, you’ll collaborate with practice leaders, engineers, and cross-functional stakeholders to solve complex business challenges using data science and AI-driven approaches. You’ll work on end-to-end data science initiatives focused on marketing and sales optimization.Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints. Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. Collaborate with stakeholders to define methodologies, deliverables, and project roadmaps. Leverage Machine Learning and Data Analysis to optimize marketing campaigns and sales initiatives. Design, manage and evaluate format experiments (eg. A/B tests, multi-factorial experiments, etc.) to improve campaign performance increasing engagement and conversion rates.Develop and manage detailed project plans including milestones, risks, owners, and contingency plans. Create and maintain efficient data pipelines using SQL, Spark, and cloud-based big data technologies within client architectures. Collect, clean, and integrate large datasets from internal and external sources to support functional business requirements. Build analytics tools that deliver insights across domains such as customer acquisition, operations, and performance metrics. Perform exploratory data analysis, data mining, and statistical modeling to uncover insights and inform strategic decisions. Train, validate, and tune predictive models using modern machine learning techniques and tools. Document model results in a clear, client-ready format and support model deployment within client environments. Manage and mentor junior resource to support their growth and development, as well as overall team success. Present results to client stakeholders in plain business language.