Key Result Areas
Stakeholder Management
· Manage stakeholder interactions by having regular updates and growing stakeholder engagement (e.g., with channel partners).
· Design, plan, and scope out projects with stakeholders.
· Explain project methodology and approach to required stakeholders.
· Project Management and Training
· Manage end-to-end project deliverables by adhering to timelines, budgets, and stakeholder expectations.
· Ensure Standard Operating Procedures are followed and relevant documents are maintained.
Delivery
· Collaborate and consulting team members and discuss with internal clients to help them sharpen their business strategy by implementing analytical models..
· Understand business problems and address them to solve client issues.
Skills Required
Technical
· Experience working on projects end-to-end, not just POCs.
· Expertise in machine learning and deep learning.
· Deep expertise in either R, Python, or SAS.
· Good understanding of different DBMS and SQL
· Experience with cloud-based analytics platforms (Azure, GCP, AWS) is a plus
Additional Skills:
· Data processing and data science libraries of Python (NumPy, Pandas, Scikit learn, etc.).
· Experience and understanding of working with massive datasets
· Building ML algorithms from scratch in Python, SAS or R
· Knowledge of various analytical models, including:
1. Cluster Analysis
2. Logistic Regression (including fraud detection and lapsation models)
3. Segmentation and Clustering
4. Next best recommendation
5. Neural network models (ANN, RNN, CNN)
6. Bagging and boosting
7. Generative models