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Data Scientist

Data Scientist

Insight GlobalMexico City, Mexico
Hace 21 días
Descripción del trabajo

Required Skills & Experience

  • 5+ years as a Data Scientist, Data Analyst, or similar role in an analytics environment
  • Proven track record building time series and machine learning models in production
  • Programming : Python (pandas, NumPy, scikit learn), SQL (T SQL, PostgreSQL).
  • Big Data & Cloud : Databricks, Apache Spark.
  • Knowledge with different models such as : ARIMA / SARIMA, Prophet, Croston’s method, ETS, XGBoost, Random Forest, and / or Gradient Boosting.
  • ETL & Orchestration : Azure Data Factory or equivalent (e.g., AWS Glue, Google Cloud Dataflow).
  • Model Management : MLflow or similar for experiment tracking and model registry.
  • Deployment : Docker, CI / CD tools (e.g., Azure DevOps, Jenkins).
  • Visualization : Power BI, Tableau, or equivalent
  • Fluent in English and Spanish
  • Ability to work in fast paced global enterprise environment
  • Excellent team player

Job Description

A Fortune 50 client is looking for a Data Scientist to support their IBP program. They are doing demand forecasting which is used by the development team and connecting with demand planners on how to make the forecast better, and use the engine created by the core team to run the forecast and integrate all the data into one snapshot. IBP has data around a ton of forecasting, but this team does the development of models. Their goal is to help boost the demands and make the forecast aligned. Key Responsibilities

  • Time Series Modeling & Forecasting
  • Monitor model performance, retrain models as needed, and implement improvements to reduce forecast error.
  • Build, tune, and evaluate supervised learning models (e.g., XGBoost, Random Forest) for classification and regression tasks.
  • Perform feature engineering, selection, and validation to optimize model accuracy and robustness.
  • Pipeline Orchestration
  • Design and implement ETL workflows in Azure Data Factory (or similar) to ingest, cleanse, and transform large datasets.
  • Leverage Databricks and Spark to process and analyze big data efficiently.
  • Insights & Reporting
  • Create interactive dashboards and visualizations in Power BI to communicate findings to stakeholders.
  • Translate complex analytical outcomes into clear, actionable business recommendations.
  • Collaboration & Documentation
  • Work closely with product owners and business stakeholders to define requirements and success metrics.
  • Document methodologies, code, and data pipelines following best practices and version control (Git).
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    Data Scientist • Mexico City, Mexico