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Demand Forecasting - Data Scientist
Demand Forecasting - Data Scientist
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Demand Forecasting - Data Scientist

Aishwarya SURENDRAN's profile picture
Posted by Aishwarya SURENDRAN
2 - 5 yrs
₹8L - ₹10L / yr
Hyderabad
Skills
Demand forecasting

Job Summary:

We are looking for a skilled Data Scientist with strong expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights.


Key Responsibilities:

  • Develop and deploy demand forecasting models using machine learning and deep learning techniques.
  • Analyze historical data to identify trends, seasonality, and demand patterns.
  • Build predictive models to improve supply chain and inventory planning.
  • Work with large datasets using Python and SQL for data extraction, transformation, and analysis.
  • Design dashboards and reports using Power BI for business stakeholders.
  • Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting.
  • Build and integrate NLP-based solutions for text data analysis and insights.
  • Develop and implement LLM-based applications using Generative AI frameworks.
  • Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation.
  • Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions.
  • Continuously improve model accuracy and performance through experimentation and optimization.


Required Skills:

  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
  • Solid understanding of machine learning & deep learning algorithms.
  • Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.).
  • Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers).
  • Experience working with LLMs and Generative AI frameworks (OpenAI, Hugging Face, LangChain, etc.).
  • Strong understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).
  • Advanced knowledge of SQL for data manipulation.
  • Hands-on experience with Power BI for visualization and reporting.
  • Expertise in advanced Excel (Power Query, dashboards, data modeling).
  • Strong analytical and problem-solving skills. 


Preferred Qualifications:

  • Experience in supply chain, logistics, or e-commerce forecasting.
  • Knowledge of cloud platforms (AWS, Azure, or GCP).
  • Familiarity with data pipelines and ETL processes.
  • Understanding of business metrics and KPIs related to demand planning.
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About WINIT

Founded :
1997
Type :
Product
Size :
100-500
Stage :
Profitable

About

N/A

Company social profiles

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