Lead / Staff Data Scientist

Overview

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Job Category : Data

About Salesforce : Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Lead / Staff Data Scientist

Location : Mexico City - Latam

About the role

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. We help companies blaze new trails and connect with customers in a whole new way, empowering you to be a Trailblazer too — driving performance and career growth, charting new paths, and improving the state of the world.

We’re looking for an experienced Lead / Staff Data Scientist to build predictive models and recommender systems using machine learning and statistical techniques to drive personalized marketing and customer experience. This role requires designing, developing, and delivering statistical models and ML algorithms for targeting and digital optimization on large-scale data in a cloud environment. You will prototype, test, and evaluate algorithm performance, ensure ethical use of data, and adhere to Salesforce’s Trust values in all models and deployments.

Responsibilities

• As part of the Customer Targeting team within the Marketing Data Science organization, develop machine learning algorithms and statistical models to drive effective marketing and personalized customer experience (e.g., propensity models, uplift models, next-best recommender systems, customer lifetime value).
• Own the full lifecycle of model development from ideation and data exploration to design, validation, testing, deployment, monitoring, and in-production tuning.
• Collaborate with data engineers to develop modeling datasets and pipelines; deploy models in production with monitoring and ongoing optimization.
• Build cross-functional relationships with key partners and coordinate with working teams across the company.
• Translate business requirements into technical specifications and present data science solutions to technical and non-technical audiences.
• Continuously learn and stay informed on innovation across SaaS, AdTech, paid media, data science, and analytics communities.
• Assume leadership responsibilities and drive end-to-end data science solutions beyond model development, including project delivery, stakeholder engagement, and roadmapping for future enhancements.
• Work independently to manage stakeholder expectations and explore additional use cases to maximize ROI from predictive models.

Required Skills

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to shape the future and redefine what’s possible for yourself, for AI, and the world.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Salesforce believes in equality for all and is committed to creating an inclusive workplace free from discrimination. Know your rights : workplace discrimination is illegal. Recruits, hiring, promotion decisions, compensation, and related actions are based on merit, competence and qualifications regardless of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, veteran status, or other classifications protected by law. This policy applies to current and prospective employees and to all employment processes.

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