Director - Data Science - Healthacare - Payer/Provider

DS Skill- statistical modeling techniques, SQL, Python, R, Tableau

Domain specific skill - Payer (AND/OR) Provider.

- Solid knowledge and experience of supervised, unsupervised machine learning algorithms. For e.g (but not limited to): linear regressions, bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis, dimension reduction etc.

- Understanding of techniques like Price Elasticity models, Sales Promo Uplift Modelling

- Good knowledge of statistics For e.g: statistical tests & distributions

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

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

- Advanced level programming in SQL and Python/Pyspark to guide teams

- Expertise 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