Senior Data Scientist

As a Lead Data Scientist at Salesforce, you will play a crucial role in building marketing attribution, causal inference, and uplift models to enhance the effectiveness and efficiency of our marketing strategies. Your expertise in designing experiments and ensuring a consistent approach to experimentation and campaign measurement will support various marketing, customer engagement, and digital use cases. **Key Responsibilities:** - Develop statistical and machine learning models to enhance marketing effectiveness, including marketing attribution models, causal inference models, and uplift models. - Create optimization and simulation algorithms to provide recommendations for marketing investment and allocation, optimizing spend across different marketing channels. - Take ownership of the complete lifecycle of model development, from ideation and data exploration to algorithm design, testing, deployment, monitoring, and tuning in production. - Design experiments to measure the impact of marketing, customer experience, and digital campaigns, and develop statistically sound models for measurement. - Collaborate with other data scientists to establish consistent approaches to experimentation and campaign measurement. - Cultivate strong relationships with key partners across the company and coordinate with working teams for effective cross-functional collaboration. - Stay updated on innovations in enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities. **Qualifications Required:** - Masters or Ph.D. in a quantitative field (statistics, economics, industrial engineering, applied math, etc.). - 8+ years of experience in designing models for marketing optimization using statistical and machine learning techniques. - Proficiency in advanced statistical techniques for experiment design and causal inference methods on large-scale data sets. - Strong programming skills in Python, R, PySpark, Java, and expert-level knowledge of SQL. - Experience with cloud platforms like GCP and AWS for model development and operationalization is preferred. - Excellent quantitative reasoning and interpretation skills to provide analysis-driven business insights. - Outstanding written and verbal communication skills to collaborate effectively with peers and leaders. - Ability to simplify complex problems and provide creative solutions. - B2B customer data experience and advanced Salesforce product knowledge are advantageous. At Salesforce, Trust is paramount, and we expect all applications of statistical and machine learning models to align with our values and policies, ensuring responsible use of technology to balance business needs. Join us in driving innovation and making a positive impact on the world through your expertise in data science and marketing optimization.,