Head - Data Science

As a Data Science Team Lead, your role involves leading a team of data scientists to collaborate with Founders and business heads in solving complex business problems. You will be responsible for developing statistical and machine learning-based models, pipelines, and methods to enhance business processes and engagements. Your key responsibilities include: - Conducting sophisticated data mining analyses of large datasets and building data science models for credit and risk underwriting solutions, customer engagement, retention, new business initiatives, and business process improvements. - Translating data mining results into clear business-focused deliverables for decision-makers. - Collaborating with Application Developers to integrate machine learning algorithms and data mining models into operational systems for automation, productivity increase, and time savings. - Providing technical direction to resolve complex issues and ensure on-time delivery of solutions meeting business expectations. - Leveraging statistical models in algorithms and conducting multivariate analysis to identify factors affecting customer retention/behavior at different points in the customer lifecycle. In addition, you should have extensive experience coding in Python, mentoring teams in Python, and a deep understanding of the data science landscape. You should be a structured thinker capable of bringing clarity to data science problems swiftly. Your ability to visualize data stories, use data visualization tools effectively, and present insights cohesively to senior leadership is crucial. You should excel at organizing large datasets from various sources to derive actionable insights and be proactive in initiating data science programs and collaborating across teams. If there are any additional details about the company in the job description, please provide them for inclusion in the job description. As a Data Science Team Lead, your role involves leading a team of data scientists to collaborate with Founders and business heads in solving complex business problems. You will be responsible for developing statistical and machine learning-based models, pipelines, and methods to enhance business processes and engagements. Your key responsibilities include: - Conducting sophisticated data mining analyses of large datasets and building data science models for credit and risk underwriting solutions, customer engagement, retention, new business initiatives, and business process improvements. - Translating data mining results into clear business-focused deliverables for decision-makers. - Collaborating with Application Developers to integrate machine learning algorithms and data mining models into operational systems for automation, productivity increase, and time savings. - Providing technical direction to resolve complex issues and ensure on-time delivery of solutions meeting business expectations. - Leveraging statistical models in algorithms and conducting multivariate analysis to identify factors affecting customer retention/behavior at different points in the customer lifecycle. In addition, you should have extensive experience coding in Python, mentoring teams in Python, and a deep understanding of the data science landscape. You should be a structured thinker capable of bringing clarity to data science problems swiftly. Your ability to visualize data stories, use data visualization tools effectively, and present insights cohesively to senior leadership is crucial. You should excel at organizing large datasets from various sources to derive actionable insights and be proactive in initiating data science programs and collaborating across teams. If there are any additional details about the company in the job description, please provide them for inclusion in the job description.