Senior Marketing Data Scientist: AI-Driven Analytics Leader

Hewlett Packard Enterprise; Tlaquepaque; Presencial; MXN 800.000 - 1.200.000; Jornada completa

Descripción de la vacante

Hewlett Packard Enterprise is seeking a Senior Marketing Data Scientist to transform marketing questions into data-driven solutions. You will work with marketing data platforms, perform data cleaning and ETL, and apply forecasting or classification models to support senior management with insights.

The role emphasizes hands-on coding, data wrangling, and building scalable AI applications for Marketing, collaborating with marketers and engineers to optimize campaigns and drive business impact.

Formación

• 5–7 years of experience in Data Science, ML, or applied AI.
• Strong Python, SQL, Pandas, NumPy proficiency.
• Experience with regression, classification, clustering, time-series, NLP.
• Hands-on with Generative AI, LLM apps, RAG pipelines, embeddings.
• Experience deploying models on Databricks/AWS/Azure/GCP.
• Ability to translate complex findings into business recommendations.
• Good communication and collaboration with technical and business stakeholders.

Responsabilidades

• Transform marketing concerns into data science solutions and metrics.
• Devise analytical frameworks, models, and dashboards to measure impact of marketing activities.
• Lead end-to-end ML solutions to answer key business questions for marketing and senior management.
• Present analysis and recommendations to marketing teams and executives.

Conocimientos

Python

SQL

Pandas

NumPy

Time-series

NLP

Regression

Classification

Clustering

Causal inference

Prompt engineering

AI agents

Data storytelling

Educación

CS/Engineering/Math/Stats

Herramientas

Scikit-learn

XGBoost

PyTorch

TensorFlow

Databricks

AWS

Azure

Google Cloud

Descripción del empleo

Hewlett Packard Enterprise is seeking a Senior Marketing Data Scientist to transform marketing questions into data-driven solutions. You will work with marketing data platforms, perform data cleaning and ETL, and apply forecasting or classification models to support senior management with insights.

The role emphasizes hands-on coding, data wrangling, and building scalable AI applications for Marketing, collaborating with marketers and engineers to optimize campaigns and drive business impact.