Salesforce, a leading enterprise software company, is seeking a Lead/Staff Data Scientist to join their Marketing Effectiveness Data Science team. This role combines advanced statistical modeling with practical business applications in marketing optimization. The ideal candidate will develop sophisticated marketing attribution models, conduct causal inference analysis, and create uplift models to enhance marketing effectiveness.
The position requires deep expertise in statistical and machine learning techniques, with a focus on marketing and digital optimization use cases. You'll work with large-scale datasets in cloud environments, designing and implementing experiments to measure campaign impact. The role emphasizes both technical excellence and business acumen, requiring collaboration with cross-functional teams across marketing, data science, and engineering.
As a Lead Data Scientist, you'll be responsible for the complete lifecycle of model development, from initial concept to production deployment. The role offers the opportunity to work on cutting-edge marketing optimization problems while adhering to Salesforce's core value of Trust in the ethical application of AI/ML technologies.
This position is ideal for someone who combines strong technical skills in Python, R, or Java with business insight and excellent communication abilities. The role offers the chance to work with enterprise-scale data and impact marketing decisions across one of the world's leading technology companies. You'll be part of a team that values innovation, ethical AI practices, and data-driven decision making.