Data Scientist

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