VP - Data Scientist

The role of VP Data Scientist in Thane involves driving analytics opportunities in the BFSI sector, overseeing project delivery, managing teams and stakeholders. The ideal candidate should possess a robust background in advanced analytics, with a history of leading impactful analytics solutions and programs for Indian clients. Additionally, the candidate must have experience in establishing and supervising large-scale Business Intelligence units. With over 15 years of relevant experience, the right candidate should showcase expertise in various areas including data processing and data science libraries of Python such as NumPy, Pandas, Scikit learn. They should also demonstrate proficiency in handling massive datasets through tools like Apache Spark, Vaex, Dask, and leveraging them for machine learning algorithms development. Moreover, the candidate is expected to be well-versed in analytical models like promotion optimization, NLP, Cluster Analysis, Segmentation, Neural network models, Logistic Regression, ANN based model, LSTM, Transformers, and more. Familiarity with cloud-based analytics platforms like Azure, GCP, or AWS is crucial. Experience in automating model training, deployment, and monitoring using ML-Ops pipelines is preferred. Key responsibilities for this role include stakeholder management, project planning, scope definition, and project methodology explanation to stakeholders. The VP Data Scientist will lead end-to-end project deliverables, ensure adherence to SOPs, and provide training to junior team members. Managing a team of 20+ data scientists, overseeing project delivery, and addressing business challenges are essential aspects of this role. The ideal candidate should hold a degree in BE/B.Tech./MCA/M.Tech. and demonstrate deep expertise in Python, SAS. They must possess a strong track record of successful project management, stakeholder engagement, and team leadership within the BFSI sector.,