Lead Data Scientist

Lead Data Scientist -Agentic AI Why Birdeye? Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye’s AI-powered platform to effortlessly manage online reputation, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive. At Birdeye, innovation isn't just a goal – it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2. Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who’s who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR. Primary Skills : Agentic AI, Gen AI, LLM’s, NLP, AI / ML, Data Science, AWS / GCP, API Deployment for SAAS, MLOps practices for CI / CD Roles & Responsibilities : Develop Agents, Gen AI Solutions, Custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Lead and mentor a team of data scientists, providing guidance on best practices and technical expertise. Collaborate with cross-functional teams to define data-driven strategies and integrate Agentic / AI / ML / Gen AI solutions into products. Continuously evaluate and improve the performance of existing models and algorithms. Stay updated with the latest advancements in Agentic AI / Gen AI / AI / ML and propose innovative solutions to enhance the company's capabilities. Requirements Bachelor's / Master's degree in Computer Science, Engineering, or a related technical field with a minimum of 7-8 years' experience. Minimum of 2 years of experience in leading a team of junior Data Scientists. Should have been involved in end-to-end delivery of the scalable, optimized and enterprise AI solutions. Experience in performing prompt engineering and fine-tuning of the AI / ML, GenAI, LLM models & building Agents Practical hands-on fine-tuning /