Senior Marketing Data Scientist

HP
Guadalajara
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5-7 yearsEducation: bachelorsSkills: ["Communication","Collaboration","Self-starter","Coding","Data wrangling"]

Use machine learning and statistical modeling to turn marketing challenges into data science solutions and measurable metrics. Build analytical frameworks, models, and dashboards, and lead end-to-end ML development for marketing business questions. Design scalable RAG pipelines and enterprise Generative AI/LLM solutions, including evaluating models and improving accuracy, reliability, and scalability. Partner with marketing and technical stakeholders while deploying and evaluating models on Databricks, AWS, Azure, or Google Cloud.

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FursaFursa
HP
HP
2 days ago

Senior Marketing Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Use machine learning and statistical modeling to turn marketing challenges into data science solutions and measurable metrics. Build analytical frameworks, models, and dashboards, and lead end-to-end ML development for marketing business questions. Design scalable RAG pipelines and enterprise Generative AI/LLM solutions, including evaluating models and improving accuracy, reliability, and scalability. Partner with marketing and technical stakeholders while deploying and evaluating models on Databricks, AWS, Azure, or Google Cloud.
Location: Guadalajara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Transform marketing initiatives, challenges, and questions into data science solutions and metrics.
  • •Devise analytical frameworks, models, and dashboards to measure marketing impact, efficiency, and effectiveness.
  • •Lead development and implementation of end-to-end machine learning techniques to answer key marketing questions and identify new opportunities.
  • •Present analysis and recommendations to marketing colleagues and senior management.
  • •Design and build scalable RAG pipelines, AI agents, and enterprise-grade Generative AI/LLM solutions for marketing use cases.

Key Requirements

  • •5–7 years of experience in data science, machine learning, statistical modeling, or applied AI, with strong proficiency in Python, SQL, Pandas, and NumPy.
  • •Experience with regression, classification, clustering, time-series forecasting, causal inference, NLP, and ML 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 and translate complex findings into clear business recommendations.
Experience:5-7 years
Education:Bachelor's in Computer Science/Engineering/Mathematics/Econometrics/Statistics
Skills:CommunicationCollaborationSelf-starterCodingData wrangling
Tech Stack:PythonSQLPandasNumPyScikit-learnXGBoostPyTorchTensorFlowGenerative AILLMRAGEmbeddingsVector databasesPrompt engineeringAI agentsDatabricksAWSAzureGoogle CloudETL

Company Brief

HP
Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.
Industry: Hardware Devices
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Palo Alto, United States
Founded: 1939
Glassdoor
Glassdoor: 3.8
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