Data Scientist — ML & AI for Growth & Optimization

ADI Global Distribution; San Luis Potosí; Híbrido; MXN 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work arrangement

Descripción de la vacante

ADI Global Distribution is seeking a Data Scientist to join a global, high-performing team. You will design, build, and operationalize advanced ML solutions to optimize customer experience, demand forecasting, and operations across B2B and Digital Commerce.

You will translate complex data into actionable insights, move models from experiments to production, and collaborate with engineering on MLOps. Strong Python and SQL skills, plus English proficiency, are essential for cross-functional,

Formación

• 3+ years hands-on experience in applied data science and ML in B2B, Retail, or Digital Commerce environments.
• Strong proficiency in Python with data science/ML libraries such as Pandas, NumPy, Scikit‑learn.
• Advanced SQL skills with complex queries, procedures, and analytical transformations.
• Solid understanding of classical ML algorithms and their real-world business applications.
• Strong analytical, critical-thinking, and problem-solving abilities with a consistent focus on business impact.
• Professional working proficiency in English for global collaboration and technical communication.

Responsabilidades

• Design, develop, and deploy predictive and prescriptive models to support customer experience optimization, demand forecasting, operations efficiency, and customer behavior analysis.
• Apply a range of machine learning and AI techniques, including classical algorithms (e.g., Gradient Boosting, Random Forests, SVMs), deep learning architectures (e.g., LSTM, Transformers), and emerging AI approaches to solve complex business problems.
• Build, maintain, and optimize customer-facing and internal analytical models, such as recommendation systems, churn prediction, propensity modeling, customer segmentation, demand forecasting, matching, and assortment optimization.
• Perform feature engineering, clustering, statistical modeling, and time-series analysis using structured and unstructured data sources.
• Transition models from exploratory research environments into production-ready artifacts, including APIs, serialized models, and containerized solutions.
• Collaborate closely with engineering teams to ensure end-to-end MLOps integration, including CI/CD pipelines, model versioning, automated deployment, monitoring, and retraining strategies.
• Conduct advanced statistical analysis to identify trends, anomalies, and opportunities, delivering actionable insights through reports and analytical outputs.
• Support experimentation initiatives through A/B testing, KPI definition, causal inference, and measurement of business impact.
• Partner with product, engineering, analytics, and business stakeholders to identify and prioritize data science opportunities aligned with organizational goals.
• Communicate findings clearly, including assumptions, limitations, trade-offs, and recommendations, to both technical and non-technical audiences.
• Contribute to a strong data-driven culture by sharing knowledge, promoting best practices, mentoring peers, and advocating for responsible and ethical use of AI.

Conocimientos

Python

SQL

English

Analytical thinking

Herramientas

Pandas

NumPy

Scikit-learn

Descripción del empleo

ADI Global Distribution is seeking a Data Scientist to join a global, high-performing team. You will design, build, and operationalize advanced ML solutions to optimize customer experience, demand forecasting, and operations across B2B and Digital Commerce.

You will translate complex data into actionable insights, move models from experiments to production, and collaborate with engineering on MLOps. Strong Python and SQL skills, plus English proficiency, are essential for cross-functional,