Manager/Senior Manager - Supply Chain/Forecasting/Financial Analytics - Manufacturing Firm

Manager/Senior Manager - Supply Chain/Forecasting/Financial Analytics

Should have strong hands on

Advanced analytics, AI,ML Models/Frame works, SQL, Python/ Payspark, Cloud

Must Have:

- In-depth understanding of manufacturing industry (various manufacturing processes, manufacturing operations, production workflows, and supply chain dynamics) & utility industry (including energy, water, or telecommunications), to effectively analyze data within the context of regulatory frameworks, operational challenges, and industry trends

- Understanding of IoT architectures and protocols, experience working with sensor data and familiarity with IoT platforms and tools

- Proficiency in statistical methods and techniques for analyzing data sets, including regression analysis, time series analysis, hypothesis testing, and predictive modeling

- Strong understanding and hands-on experience with machine learning algorithms and techniques such as supervised and unsupervised learning, classification, clustering, and anomaly detection

- Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases

- Proficient in working with relational databases (e.g., SQL) and NoSQL databases

- Experience with data warehousing and data lakes

- Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib)

- Advanced level programming in SQL or Python/Pyspark

- Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc.

Nice to have:

- Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP's Vertex AI platform, AWS SageMaker)

- Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)

- Good Communication and presentation skills