Lead / Staff Data Scientist

Salesforce, Inc.; A distancia; MXN 1,796,000 - 2,336,000; Jornada completa

Descripción de la vacante

A leading AI CRM company is seeking a Lead / Staff Data Scientist to develop and implement machine learning models that enhance marketing strategies. The role requires deep expertise in statistics and programming with at least 8 years of experience in data science. You will collaborate with diverse teams to translate business needs into technical solutions. Excellent communication skills and a strong understanding of cloud platforms are essential. Join us to redefine the future of marketing analytics.

Servicios

Innovation-driven environment

Flexible work schedule

Professional development opportunities

Formación

• 8+ years of experience in data science and marketing.
• Expert-level knowledge of SQL with data manipulation skills.
• Superb quantitative reasoning with analysis-driven insights.

Responsabilidades

• Develop machine learning algorithms for marketing effectiveness.
• Collaborate with stakeholders to translate business requirements.
• Manage stakeholder expectations and drive project completion.

Conocimientos

Statistical analysis

Machine learning

Python

SQL

Data visualization

Educación

Master’s or Ph.D. in quantitative field

Herramientas

GCP

AWS

PySpark

Descripción del empleo

Lead / Staff Data Scientist
Remote type: Office - Flexible
Location: Mexico - Mexico City
Time type: Full time
Posted on: Posted Today
Job requisition id: JR

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. 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.

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, etc.
• Own the full lifecycle of model development from ideation and data exploration, algorithm design, validation, and testing.
• Work closely with data engineers to develop modeling data sets and pipelines; deploy models in production, setup model monitoring and in‑production tuning processes.
• Be a master in cross‑functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams.
• Collaborate with stakeholders to translate business requirements into technical specifications, and present data science solutions to technical and non‑technical audiences across the organization.
• Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities.
• Assume leadership responsibilities and cover the end‑to‑end data science solution outside of model development, driving projects to completion with minimal supervision, engaging with stakeholders to quantify impact, and planning roadmaps for future enhancements.
• Work independently to manage stakeholder expectations and explore alternative use cases to get better return on investment from the suite of predictive models.

Required Skills

• Master’s or Ph.D. in a quantitative field such as statistics, economics, computer science, industrial engineering and operations research, applied math or other relevant quantitative field.
• 8+ years of experience using advanced statistical and machine learning techniques such as clustering, linear and logistic regressions, PCA, gradient boosting machines (GBM), support vector machines (SVM), reinforcement learning (RL), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms (e.g., Wide & Deep).
• Must have multiple robust examples of using these techniques to support marketing efforts and to solve business problems on large‑scale data sets.
• 8+ years of proficiency with one or more programming languages such as Python, R, PySpark, Java.
• Expert‑level knowledge of SQL with strong data exploration and manipulation skills.
• Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred.
• Experience developing production‑ready feature engineering scripts for model scoring deployment.
• Experience transforming semi‑structured and unstructured data into features for model development.
• Experience creating model monitoring and model re‑training frameworks to validate and optimize in‑production performance.
• Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis‑driven business insight and recommendations.
• Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations.
• Excellent presentation skills; ability to articulate data science solutions to a wide audience to drive model use and implementation adoption.
• Creative problem‑solver who simplifies problems to their core elements.
• Experience with setting up endpoints, lambda functions, and API gateways is a plus.
• B2B customer data experience is a big plus.
• Advanced Salesforce product knowledge is also a plus.

Benefits and Resources

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 not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

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Posting Statement

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The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.