Head - Data Science

You will lead a team of data scientists from top tier schools and collaborate with Founders and business heads to solve complex business problems. Your responsibilities will include developing statistical and machine learning-based models, pipelines, and methods to enhance business processes and engagements. Additionally, you will conduct sophisticated data mining analyses of large data volumes and build data science models for credit and risk underwriting solutions, customer engagement and retention, new business initiatives, and business process improvements. Your role will involve translating data mining results into clear business-focused deliverables for decision-makers. You will work closely with Application Developers to integrate machine learning algorithms and data mining models into operational systems to drive automation, productivity increase, and time savings. Providing technical direction to resolve complex issues and ensure timely delivery of solutions meeting business expectations will also be part of your responsibilities, which may require developing new methods for application. It is essential for you to have a deep understanding of leveraging statistical models in algorithms, experience in multivariate analysis, and identifying parameters affecting customer retention/behavior throughout the customer lifecycle. Proficiency in Python coding and mentoring teams on the same is required. You should possess a strong grasp of the data science landscape and the ability to choose appropriate tools for various problem-solving scenarios. As a structured thinker, you will be expected to bring clarity to any data science problem rapidly. You should be skilled in visualizing data stories, utilizing data visualization tools, and presenting insights as cohesive narratives to senior leadership. Your excellent capability to organize large datasets from diverse sources to derive actionable insights will be crucial. Initiating data science programs within the team and collaborating with other data science teams to establish a knowledge database will also fall under your purview. Skills required for this role include expertise in Data Science, Machine Learning (ML), Python, Statistical Modeling, Credit Modeling, and Fintech.,