Data Science Manager

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. 

• 5+ years of hands-on experience in Data Science, including model building and ML Ops 

• Extensive experience in email marketing, digital marketing, and call center analytics.

• Experience managing and mentoring junior people in multiple locations. 

• Proficiency in Python, SQL, and Spark in Databricks. 

• Familiarity with digital marketing ecosystem (e.g., clickstream analytics) and recommendation systems.  

• Experience deploying models via APIs or integrating them into batch processing pipelines.

• Working knowledge of cloud platforms Azure experience preferred.

• Ability to manage data pipelines and ETL processes with a solid understanding of data engineering best practices. 

• Strong communication and collaboration skills, including experience engaging directly with clients 

Preferred Qualifications

• Familiarity with ML Ops tools such as ML Flow, Kubeflow, or SageMaker. 

• Experience working in Agile environments with cross-functional teams. 

• Familiar with Microsoft SQL Server ecosystem, including SSIS (SQL Server Integration Service).