Team Lead, Applied Analytics

Overview: We’re looking for a Senior/ Lead, Business Analytics & AI with strong business analytics experience to design, develop, and deploy advanced AI/ML solutions that power data-driven decision-making across Sales, Marketing, and broader business functions. If you're passionate about solving unstructured business problems with cutting-edge AI, predictive modeling, and data engineering, and enjoy turning data into strategy, you’ll thrive in this role In This Role, You Will: • Develop end-to-end AI-powered analytics models to solve complex business problems using structured and unstructured data, especially in Sales & Marketing domains.• Build predictive models and automation solutions for lead scoring, churn prediction, upsell/cross-sell, next-best-action, pipeline forecasting, and campaign effectiveness.• Use Generative AI (Gen AI) techniques to enhance research, data exploration, and prompt-based insight generation.• Collaborate with Sales, Marketing, Product, IT, and Analytics stakeholders to understand business objectives, structure analytical approaches, and build scalable solutions.• Perform deep data exploration and build advanced statistical, ML, and Gen AI models (e.g., transformers, topic modeling, LLMs).• Design and manage SQL procedures and data pipelines for Snowflake and other platforms; ensure data accuracy and governance.• Build interactive dashboards and visualizations using tools like Tableau or Sigma to make complex insights easy to consume.• Work across multiple projects and mentor junior team members while promoting analytics adoption across teams.• Implement CI/CD, Git, and software development best practices for model and solution deployment. Here's What You Need: • 3–7 years of experience in Business Analytics and AI/ML, with a strong focus on Generative AI applications.• Proven expertise in Python (Pandas, Scikit-learn, TensorFlow, Hugging Face, LangChain, etc.) andAI/ML model development.• Hands-on experience building and deploying Gen AI models for research, summarization, and business-specific insights.• Strong SQL skills for data extraction, transformation, and automation across large-scale databases (e.g., Snowflake).• Experience in data visualization using Tableau, Sigma, Power BI, or similar tools.• Ability to work with structured and unstructured data, applying prompt engineering and AI-driven methods for insight generation.• Exceptional communication skills to translate technical insights into business value.• Prior experience in a SaaS environment, especially supporting Sales and Marketing functions, is a big plus.• Familiarity with software engineering practices like Git workflows, code reviews, and CI/CD pipelines.• Develop end-to-end AI-powered analytics models to solve complex business problems using structured and unstructured data, especially in Sales & Marketing domains.• Build predictive models and automation solutions for lead scoring, churn prediction, upsell/cross-sell, next-best-action, pipeline forecasting, and campaign effectiveness.• Use Generative AI (Gen AI) techniques to enhance research, data exploration, and prompt-based insight generation.• Collaborate with Sales, Marketing, Product, IT, and Analytics stakeholders to understand business objectives, structure analytical approaches, and build scalable solutions.• Perform deep data exploration and build advanced statistical, ML, and Gen AI models (e.g., transformers, topic modeling, LLMs).• Design and manage SQL procedures and data pipelines for Snowflake and other platforms; ensure data accuracy and governance.• Build interactive dashboards and visualizations using tools like Tableau or Sigma to make complex insights easy to consume.• Work across multiple projects and mentor junior team members while promoting analytics adoption across teams.• Implement CI/CD, Git, and software development best practices for model and solution deployment.• 3–7 years of experience in Business Analytics and AI/ML, with a strong focus on Generative AI applications.• Proven expertise in Python (Pandas, Scikit-learn, TensorFlow, Hugging Face, LangChain, etc.) andAI/ML model development.• Hands-on experience building and deploying Gen AI models for research, summarization, and business-specific insights.• Strong SQL skills for data extraction, transformation, and automation across large-scale databases (e.g., Snowflake).• Experience in data visualization using Tableau, Sigma, Power BI, or similar tools.• Ability to work with structured and unstructured data, applying prompt engineering and AI-driven methods for insight generation.• Exceptional communication skills to translate technical insights into business value.• Prior experience in a SaaS environment, especially supporting Sales and Marketing functions, is a big plus.• Familiarity with software engineering practices like Git workflows, code reviews, and CI/CD pipelines.