Senior Manager, Data Science - Customer Success

To enhance your experience as a candidate, you are advised to apply for a maximum of three roles within a twelve-month period to avoid effort duplication. Job Category: Data Job Details About Salesforce We are Salesforce, the Customer Company that harnesses the power of AI, Data and CRM to innovate the future of business. Our core values guide us in helping companies from all sectors create new paths to connect with their customers in novel ways. We also empower you to become a Trailblazer – driving your career growth and performance, charting new paths, and improving the state of the world. If you believe that business is the most potent instrument for change and that firms should be both profitable and responsible – you've found the right place. At Salesforce, our Data Science team is an integral part of the Data and Analytics (DnA) organization. We are committed to organizing customer data and developing data science products that boost customer success and sales. We work across various departments, including executives, success managers, sales, renewal managers, and product managers. Our goal is to uncover growth opportunities, analyze data, and offer actionable insights that shape our business decisions. Your Role: As a Senior Manager of Customer Data Science at Salesforce, you will be essential in leveraging data and analytics to develop products that enhance customer retention, optimize their product experiences, identify cross-sell/upsell opportunities, and proactively mitigate churn risks through predictive and prescriptive insights. Your aim will be to drive impactful business outcomes and increase revenue. Leading a team of data scientists, you will work together with cross-functional teams to deliver powerful insights and solutions. Key Responsibilities: Team Leadership: Provide visionary leadership and mentorship to a team of customer-focused data scientists. Foster a culture of excellence, innovation, and collaboration aimed at driving tangible business outcomes. Technical Leadership: Head strategic Data Science projects focused on critical areas like adoption, attrition and growth prediction. Harness Data Science, Machine Learning, and AI to provide excellent results. Data Science Execution: Supervise the design, development, and end-to-end implementation of sophisticated data analysis and predictive modeling techniques. These will help extract insights and support data-driven decision-making across the organization. Stakeholder Collaboration: Work with cross-functional teams and senior leaders within the DnA organization to understand business and technical requirements. Translate them into actionable, high-integrity data science outcomes that make a business impact. Innovation: Keeping up to date with industry trends and emerging technologies in data science. Contribute to Salesforce's data science best practices and innovation. Data-Driven Strategies: Drive data-driven decision-making across Customer Success. Develop and execute short-term and long-term data science and analytics initiatives. Effective Communication: Ensure effective communication of data science insights and solutions to both technical and non-technical stakeholders. Facilitate a clear understanding of how data-driven decisions impact the business. Preferred Qualifications: Educational Background: An advanced degree, such as a Master's or Ph.D., in Engineering, Physics, Mathematics, Statistics, Computer Science, or a related field. Practical project experience in advanced data analysis, statistical modeling, and machine learning concepts. Experience: 7+ years of hands-on experience in building machine learning applications, with at least 2 in a formal or informal technical leadership role. Programming Skills: Experience with writing production-ready code in Python and automation. Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and Spark. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus. Database Proficiency: Working knowledge of one or more SQL languages such as Snowflake, Oracle, MySQL, PostgreSQL, Redshift, etc. Technical Expertise: Strong proficiency in core Data Science, Machine Learning and Statistical modeling. Deep experience with predictive modeling techniques required. Working knowledge of NLP, Recommendation systems and LLM’s is a plus. Salesforce Experience: Knowledge of Salesforce content, products and licenses. Communication: Excellent written and verbal communication and presentation skills. Big Data: Experience with large datasets and distributed computing platforms like Hive/Hadoop is a plus. Business Intelligence: Capability to tell compelling data stories with audience-appropriate visualizations is a must. Familiarity with one or more Business Intelligence and visualization tools such as Business Objects, Tableau, ChartIO, JMP, etc., is a plus. Accommodations: If you require assistance due to a disability when applying for open positions, please submit a request via this Accommodations Request Form. Posting Statement: At Salesforce we believe that the business’s role is to improve the state of our world. Each individual has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com. Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce. Salesforce welcomes everyone.