• The Senior Data Scientist will lead the development of advanced machine learning models to optimize demand forecasting and pricing strategies, driving increased profitability and customer satisfaction. This role requires a high level of expertise in Generative AI, MLOps, and cross-functional collaboration to ensure the seamless integration of data-driven solutions within the business. Success in this role is measured by the accuracy and robustness of predictive models, the optimization of pricing strategies, and the overall enhancement of customer analytics.

  
  What You Will Do:

  • 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.

Desired Candidate Profile

• Required Skills To Be Successful:

  • 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.

  
  What Qualifies You For The Role:

  • 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).