Data Scientist Leader in Demand Forecasting
2 days ago
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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