Lead Data Scientist

Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. 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.

Requirements

• Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 7-8 years' experience.
• Minimum of 2 years of experience in leading a team of junior Data Scientist.
• 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/transfer learning/optimization of the Transformer architecture based Deep Learning models.
• Experience in Agentic AI, Gen AI, LLM, NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc.
• Experience in AWS / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc.
• Experience in Docker for deploying the containers. Deployment of the ML models on the Kubernetes clusters
• Experience in NoSQL/SQL databases.
• Good programming skills in Python.
• Domain knowledge in Online Reputation management or experience in a product-based company (added advantage).
• Expertise in delivering end-to-end AI solutions covering multiple technologies & tools to multiple business problems.
• Strong knowledge of statistical methods and experimental design.
• Experience with MLOps practices for CI/CD in machine learning.
• Strong project management skills, with the ability to manage multiple projects simultaneously.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance