Lead Data Scientist

Neuron7.ai is a rapidly growing AI-first SaaS company focused on creating a category-defining service intelligence product. Backed by top venture capitalists in Silicon Valley and a distinguished group of angel advisors/investors, we are recognized as a startup to watch. Our swift traction in the market underscores our mission to empower enterprises to make accurate service decisions at scale. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data alongside insights from leading experts. In complex service environments such as high-tech devices, manufacturing, and medical devices, Neuron7.ai helps service leaders excel in critical metrics like first-call resolution, turnaround time, and service margins. Learn more at Neuron7.ai. --- **Role Overview:** As a **Staff Data Scientist** at Neuron7.ai, you will lead the design, development, and deployment of NLP-driven solutions for processing and analyzing large volumes of unstructured data. You will bring a deep technical skill set and a passion for innovation to launch impactful AI products to live users. You will also serve as a mentor to junior team members and collaborate closely with cross-functional teams and customers. **Key Responsibilities:** - Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale. - Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn. - Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS. - Collaborate with data engineering teams to ensure seamless integration of AI models into production systems. - Perform advanced SQL analytics to extract actionable insights from structured datasets. - Mentor junior data scientists and foster a culture of technical excellence within the team. - Communicate complex technical concepts to non-technical stakeholders and customers. - Partner with customers to understand their needs and translate them into technical solutions. **Qualifications Required:** - Minimum 8 years of experience in data science, with a focus on NLP and unstructured data processing. - Proven track record of launching NLP-driven products to live users. - Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn. - Experience with Transformer-based models (e.g., BERT, GPT). - Develop, train, and optimize ML and deep learning models (classification, regression, clustering, sequence modeling, embeddings). - Implement and fine-tune transformer-based models such as BERT, GPT-style LLMs, and domain-specific architectures. - Build and deploy RAG (Retrieval-Augmented Generation) pipelines, vector databases, embedding models, and prompt optimization workflows. - Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products. - Design and implement NLP pipelines for text classification, information extraction, topic modeling, semantic search, summarization, and conversational AI applications. - Fine-tune pretrained LLMs and Hugging Face models for domain-specific tasks. - Develop custom tokenizers, embeddings, and text-processing architectures. - Familiarity with data engineering pipelines and best practices. - Proficiency in SQL for analytics and data manipulation. - Build ETL/ELT pipelines, feature stores, and model-serving infrastructures. - Deploy ML models into production environments using Docker, Kubernetes, and CI/CD pipelines. - Implement monitoring, observability, and retraining workflows. - Mentor junior data scientists and provide technical oversight for AI/ML projects. - Collaborate with cross-functional teams to define model requirements and success metrics. - Own the full ML lifecycle from research to deployment and ongoing maintenance. If you're excited about building innovative backend solutions and want to be part of a forward-thinking team, Neuron7.ai would love to hear from you!,