About the role
Director - Data Science -Supply Chain/Forecasting/Financial Analytics
Diversity Only
Years of Experience: Candidates with 16+ years of hands on experience
Must Have:
· Strong project management skills to oversee and coordinate multiple data science projects, ensuring they are delivered on time and within scope while meeting expectations
· Demonstrated experience in providing strategic direction and leadership for a data science team, aligning initiatives with overall business goals
· Understanding of how advanced analytics solutions, AI/ML models, and operationalizing based on ML process are leveraged and delivered in Supply Chain domain
· In-depth knowledge of supply chain processes, logistics, inventory management, and demand forecasting within various industries
· Strong understanding of financial concepts and analytics to provide insights into budgeting, cost optimization, and financial forecasting
· Experience in developing demand forecasting models to optimize inventory levels, reduce stockouts
· Good knowledge of statistics, Data analysis hypothesis testing, and preparation for machine learning use cases
· Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib)
· Familiarity with prrogramming in SQL and Python/Pyspark to guide teams
· Familiarity with visualization tools For e.g.: Tableau, PowerBI, AWS QuickSight etc.
Nice to have:
· Working knowledge of containerization (e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)
· Experience with model explainability and interpretability techniques
· Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product
· Ability to think through complex user scenarios and design simple yet effective user interactions
· Good Communication and presentation skills
Advanced analytics, AI,ML Models/Frame works, SQL, Python/ Payspark, Cloud
Visualizations, Containers. CICD pipeline