Senior Marketing Data Scientist

HP; Tlaquepaque; Presencial; MXN 900.000 - 1.700.000; Jornada completa

Descripción de la vacante

HP in Guadalajara is seeking a Senior Marketing Data Scientist to develop ML models, analytics dashboards, and AI applications for marketing initiatives. You will work with marketing data platforms, clean data, build end-to-end models, and present insights to senior management.

Strong Python/SQL skills and experience with Databricks and cloud platforms are preferred. This full-time role offers collaboration with cross-functional teams and a global tech environment.

Formación

• 5–7 years of experience in Data Science, machine learning, statistical modeling, or applied AI.
• Strong proficiency in Python, SQL, Pandas, and NumPy.
• Hands-on experience with generative AI, LLMs, and RAG pipelines.
• Experience deploying models on Databricks, AWS, Azure, or Google Cloud.
• Ability to translate complex findings into clear business recommendations.
• Excellent communication and collaboration with cross-functional teams.

Responsabilidades

• Transform marketing questions into data science solutions and metrics.
• Develop models and dashboards to measure impact of marketing activities.
• Lead end‑to‑end ML techniques to answer key business questions.
• Present analyses and recommendations to marketing and senior management.
• Design and build AI pipelines and AI applications for marketing use cases.
• Define AI architecture, deployment environments, and model evaluation.

Conocimientos

Python

SQL

Pandas

NumPy

Regression

Classification

Time-series forecasting

NLP

LLM

Databricks

AWS

Azure

GCP

Excel

PowerPoint

Communication

Collaboration

Educación

Degree in Computer Science/Engineering/Mathematics/Econometrics/Statistics

Herramientas

Databricks

AWS

Azure

Google Cloud

Descripción del empleo

Senior Marketing Data Scientist

About the job

The role of Marketing Data Science today has evolved constantly because of rapid mar‑tech innovations and emergence of disruptive technologies. We are looking for an experienced Senior Marketing Data Scientist who is not only well‑versed in machine learning and statistical modeling, but also familiar with mar‑tech platforms and practices. As a Senior Marketing Data Scientist here you’d put your talent to spot opportunities to apply latest technologies on real‑world marketing problems. You will be working with various marketing data platforms and databases, get deeply involve in data cleaning and ETL building, use whatever modeling skills you have, be it time‑series forecasting or classification algorithms, to help solve marketing analytic problems and finally bring your insight or solution to the senior management within HP. We are looking for a self‑starter who is passionate about coding, data wrangling and sharing insight with others.

Locations

Guadalajara-Mexico

Responsibilities

• Understand marketing initiatives, challenges, questions and concerns and transforming them into data science solutions and metrics
• Devise analytical framework, models and dashboards to quantitatively measure the impact, efficiency and effectiveness of marketing activities
• Lead the development and implementation of innovative end‑to‑end machine learning techniques to answer key business questions from marketing team or senior management while identifying new areas to explore
• Present your analysis and recommendations to marketing colleagues and to senior management
• Design and build scalable RAG pipelines, AI agents, and enterprise‑grade Generative AI applications for Marketing use cases.
• Define the AI architecture, infrastructure, model strategy, and deployment environment, including evaluating existing models, fine‑tuning, and compute requirements.
• Lead development and performance evaluation of LLM solutions across structured and unstructured data, while troubleshooting accuracy, reliability, and scalability issues.
• Collaborate with internal or external members to bring in data source/platform/technique into the team

Required Qualification

• 5–7 years of experience in Data Science, machine learning, statistical modeling, or applied AI, with strong proficiency in Python, SQL, Pandas, and NumPy.
• Strong experience with regression, classification, clustering, time‑series forecasting, causal inference, NLP, and frameworks such as Scikit‑learn, XGBoost, PyTorch, or TensorFlow.
• Hands‑on experience building Generative AI solutions, including LLM applications, RAG pipelines, embeddings, vector databases, prompt engineering, and AI agents.
• Experience deploying and evaluating AI models on Databricks, AWS, Azure, or Google Cloud, including accuracy, scalability, reliability, and cost.
• Ability to work with structured and unstructured data, troubleshoot model outputs, and translate complex findings into clear business recommendations.
• Strong communication and collaboration skills, with experience partnering with technical teams, marketers, and business stakeholders.Basic understanding and knowledge of digital marketing practices and KPIs on ecommerce ad platforms
• Desire to partner up with other data scientists, data analysts and key business partners
• Proficiency with advanced Excel and PowerPoint
• Excellent Communication Skills

Preferred Qualifications

• Degree in Computer Science/Engineering/Mathematics/Econometrics/Statistics
• Familiarity with Google Analytics/ Adobe Analytics/ Amazon Marketing Cloud/ Google Ads Data Hub and other commonly used digital marketing data platforms or CRM systems
• Knowledge of commercial B2B marketing and ABM
• Experience with marketing measurement frameworks such as Marketing Mix Modeling and Multi‑touch Attribution

Job

Marketing

Schedule

Full time

Shift

No shift premium (Mexico)

Equal Opportunity Employer (EEO)

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"