Data Scientist Leader in Demand Forecasting

2 days ago


Delhi, Delhi, India Valiance Solutions Full time

Valiance Solutions is seeking a highly experienced Data Scientist Leader with expertise in demand forecasting for the apparel and fashion industry.

Job Description

The ideal candidate will have a strong background in machine learning, including building, maintaining, and improving demand forecasting models. The role involves collaborating with cross-functional teams to gather and understand business requirements.

Key Responsibilities:

  • Build, maintain, and continuously improve machine learning models for demand forecasting in the apparel and fashion industry.
  • Collaborate with product managers, data engineers, and business analysts to gather and understand business requirements.
  • Monitor model performance, adjust parameters, and improve accuracy and efficiency based on real-time data and feedback.
  • Work with large datasets to extract meaningful insights, trends, and recommendations that drive business decisions.
  • Create automated, scalable, and efficient processes for model deployment and updates.
  • Stay updated on the latest machine learning algorithms, tools, and techniques, applying relevant advancements to ongoing projects.

Requirements:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 6-8 years of overall experience, with at least 3 years focused on machine learning-based forecasting.
  • Domain Expertise: Proven experience in demand forecasting for apparel, fashion, or retail industries is a must.

Technical Skills:

  • Strong proficiency in programming languages such as Python, R, or similar.
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with time-series forecasting methods such as ARIMA, Prophet, LSTM, etc.
  • Knowledge of data manipulation and analysis tools like SQL, Pandas, and NumPy.
  • Experience with cloud platforms (AWS, GCP, or Azure) is a plus.
  • Analytical Skills: Ability to work with large datasets and build data-driven models that optimize business processes.
  • Communication: Strong communication skills to present complex models and insights to non-technical stakeholders.

Compensation: We offer an annual salary of $150,000-$180,000 depending on experience and qualifications.



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