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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

About Us: At Salesforce, our Data Science team, part of the Data and Analytics (DnA) organization, is dedicated to structuring customer data and developing data science products that drive customer success and sales. We collaborate across various departments, including executives, success managers, sales, renewal managers, and product managers. Our mission is to uncover growth opportunities, analyze data, and provide actionable insights to guide our business decisions.

Your Role: As the Director of Data Science, you will be a critical driver of our sales strategy and revenue growth initiatives. Your role will encompass leading a diverse team of data scientists, from junior to principal levels, and guiding them in the development of enterprise-scale products. You will leverage your extensive experience in building recommendation systems, propensity models, and time series forecasting, as well as applying classical machine learning techniques to solve complex business problems. Your strong software engineering skills will enable you to ensure the team produces production-grade software, while your machine learning engineering (MLE) expertise will help you mentor the team through code reviews and MLOps tasks. Your strong communication skills enable you to engage effectively with a wide range of colleagues and business stakeholders across multiple functions and geographis.

Key Responsibilities:

• Strategic Leadership: Lead and mentor a high-performing team of data scientists, fostering a culture of innovation, excellence, and collaboration.

• Technical Execution: Oversee the development and deployment of scalable, robust data science solutions, ensuring they align with business objectives and drive significant impact.

• Advanced Analytics: Drive the creation and implementation of advanced data analysis, predictive and prescriptive modeling, and machine learning techniques to inform data-driven decision-making.

• Cross-Functional Collaboration: Work closely with leaders and teams across different functions and geographies to deliver actionable insights and data-driven solutions.

• Innovation: Stay abreast of industry trends and emerging technologies, contributing to the continuous improvement of Salesforce's data science practices and products.

• Communication: Effectively convey complex data science concepts and insights to both technical and non-technical stakeholders through clear, compelling storytelling. Drive a culture of writing and improved communication and stakeholder management within the team.

• Production Grade Enterprise Scale Data Products: Guide the team in developing high-quality, production-grade data products, ensuring best practices in software engineering and MLOps.

Preferred Qualifications:

• Educational Background: Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Computer Science, Engineering, Statistics, Mathematics, or related field.

• Experience: 10+ years of experience in data science and machine learning, with at least 5 years in a senior leadership role. Proven track record in leading teams and delivering enterprise-scale data products.

• Technical Expertise: Deep understanding of machine learning, statistical modeling, and data science techniques. Extensive experience with recommendation systems, propensity models, time series forecasting, and both supervised and unsupervised learning methods.

• Software Engineering Skills: Proficiency in writing production-ready code, with strong expertise in Python and data transformation tools such as Pandas and SQL. Familiarity with Spark, R, git, MLflow, Airflow, Docker, and cloud platforms like AWS/GCP. Proven experience in system design and architecture desirable. Experience with Experiment Design, Neural Network architectures, and Natural Language Processing (including Large Language Models) is highly desirable.

• MLE and MLOps: Solid experience in machine learning engineering, including model deployment, monitoring, and lifecycle management. Ability to mentor and upskill team members in MLOps practices.

• Data Management: Proficiency in SQL and handling large datasets, with experience in distributed computing platforms such as Hadoop considered a plus.

• Communication Skills: Exceptional written and verbal communication skills, with the ability to create high-quality documents and presentations. Experience in data storytelling and visualization using tools like Tableau is highly desirable.

Join us at Salesforce and lead a team that transforms data into actionable insights, driving our sales strategy and delivering exceptional value to our customers. Your leadership and technical expertise will play a crucial role in our continued success and innovation.

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