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Jorge NacerJN

Jorge Nacer

Senior Data Scientist | Machine Learning Engineer

400 €/Tag
Hamburg, DE
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Jorge

I help data-driven companies turn ML models into reliable, production-grade systems that deliver measurable business outcomes, not just notebooks that sit on a shelf.

6+ years as a Data Scientist and ML Engineer, with a 5-year Software Engineering foundation that means I ship end-to-end: from exploratory analysis and model development through containerized deployment, monitoring, and SLO-driven data quality.
What I typically deliver: customer churn and lifetime value models (LightGBM), automated batch prediction pipelines on GCP Vertex AI, multi-container Docker/Kubernetes MLOps workflows, A/B testing frameworks with causal inference, and anomaly detection systems for energy and retail analytics.

What sets me apart: I've owned the full ML lifecycle at enterprise scale (Walmart), optimizing loyalty program budgets through CLV models while maintaining 99.9% data quality SLOs across production dashboards. I don't hand off to engineering; I am the engineer.

Stack: Python, PyTorch, LightGBM, scikit-learn, Docker, Kubernetes, GCP (Vertex AI, BigQuery), AWS, Terraform, FastAPI, Spark, dbt.
  • Spanisch

    Muttersprachlich oder zweisprachig

  • Deutsch

    Grundkenntnisse

  • Englisch

    Verhandlungssicher

Vor Ort möglich
Hamburg (bis zu 10 km)

Projekt- und Berufserfahrung

  • Leprcon
    Senior Data Scientis
    BERATUNG & AUDITS
    November 2024 - April 2025 (5 Monate)
    Hamburg, Deutschland
    • Architected data integrity pipelines for energy analytics
    • Detected anomalies through statistical validation with Pandas and Statsmodels
    • Applied hypothesis testing to mitigate technical and business risks with scikit-learn
    • Translated statistical findings into actionable business recommendations
    Python SQL Scikit-learn Pandas Data analysis
  • Walmart Chile
    Senior Data Scientist
    GROSSHANDEL
    Januar 2022 - Februar 2024 (2 Jahre und 1 Monat)
    Valparaíso, Chile
    • Implemented MLOps strategies for customer analytics
    • Automated multi-container Docker/Kubernetes pipelines on Vertex AI (GCP)
    • Audited and operationalized machine learning models
    • Developed monthly batch predictions for Customer Lifetime Value (CLV) models using LightGBM
    • Optimized loyalty programs budget by using CLV modelsd
    • Maintained 99.9% data quality SLOs for sales dashboards via automated BigQuery SQL scripts and Cloud Monitoring
    MLOps Python SQL Docker Google cloud
  • Walmart Chile
    Data Scientist
    GROSSHANDEL
    Juli 2020 - Dezember 2021 (1 Jahr und 5 Monate)
    Valparaíso, Chile
    • Designed and deployed production-grade LightGBM Churn Model using feature engineering (SQL-derived attributes and business segment tags) to predict and mitigate customer attrition.
    • Engineered unsupervised learning models using K-means and DBSCAN for customer segmentation
    • Conducted A/B testing with Statsmodels and SciPy and diff-in-diff to drive increases in marketing ROI
    Machine learning Python A/B Testing SQL Unsupervise Learning

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Ausbildung und Abschlüsse

  • Post-graduate coursework
    Universidad Técnica Federico Santa María (UTFSM)
    2019
    M.Sc. in Informatics Engineering
  • B.Sc. in Informatics Engineering
    Universidad Técnica Federico Santa María (UTFSM)
    2014
    Informatics Engineering (Computer Science)

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