Data Scientist

2 weeks ago

Hyderabad, Telangana, India beBeeForecasting Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Predictive Analytics Expertise

We are seeking a highly experienced data scientist with a strong background in supply chain management and demand planning.

The ideal candidate will have hands-on experience in building advanced forecasting models, working with machine learning algorithms, and leveraging data science techniques to drive business insights.

  • Design and implement end-to-end predictive analytics pipelines for time series forecasting.
  • Apply statistical forecasting techniques such as ARIMA, exponential smoothing, and prophet to real-world supply chain data.
  • Develop and tune machine learning models using algorithms like XGBoost and LightGBM to enhance forecast accuracy.
  • Collaborate with cross-functional teams to identify key drivers of demand and optimize retail planning cycles.
  • Translate business problems into data-driven solutions using robust modeling techniques.
  • Ensure seamless integration of predictive models into business processes.
  • Communicate insights and recommendations clearly to stakeholders.

Required Skillsets:

  • Proven experience in data science and analytics, with at least 6+ years in architectural roles.
  • Strong background in supply chain management, especially in demand planning and retail merchandise financial planning.
  • Expertise in time series forecasting using statistical models and machine learning algorithms.
  • Minimum 1 year of hands-on experience with data visualization tools.
  • Proficient in Python and/or R, with strong command over data science libraries.
  • Experience in developing scalable, production-ready predictive analytics pipelines.
  • In-depth understanding of retail planning cycles, seasonality, promotions, and macroeconomic factors influencing demand.
  • Excellent communication and presentation skills to effectively convey insights to stakeholders.
  • Strong cross-functional collaboration experience working with business, engineering, and product teams

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