Senior Data Scientist 

August 27, 2026
Application ends: November 24, 2026

Job Description

REQUIREMENTS

  • Advanced machine learning model development and optimization skills.
  • Expertise in Generative AI techniques for demand forecasting.
  • Proficiency in MLOps practices and model deployment pipelines.
  • Strong communication and collaboration abilities with cross-functional teams.
  • Master’s degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.
  • 10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.
  • Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.
  • Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).

RESPONSIBILITES

  • Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.
  • Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.
  • Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.
  • Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.
  • Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.
  • Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.
  • Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.
  • Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.

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