Principal/Staff Applied Data Scientist

About HG Insights

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.

Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

Role Overview

We are looking for an Applied Data Scientist to build and productionize classification and extraction models that power AI agents and semantic data systems. This role focuses on converting large-scale unstructured data into high-quality structured signals that feed semantic layers, knowledge graphs, and downstream AI workflows.

The role works closely with AI engineering and platform teams and owns the ML lifecycle from problem framing and dataset design to model deployment and quality monitoring. This is a hands-on role with strong emphasis on practical ML systems, not academic research or dashboard analytics.

Key Skills:

These are exactly right for your Applied DS / AI-agent role:

• Strong experience with NLP models: Transformers, BERT, NER
• Hands-on model training using PyTorch / TensorFlow
• Fine-tuning, PEFT / LoRA, transfer learning
• Dataset creation, labeling strategies, weak / supervised learning
• Model evaluation (precision, recall, F1) and error analysis
• Experience using LLM APIs (GPT, Claude) and hybrid ML + LLM pipelines
• Model deployment, inference optimization, and monitoring
• Ability to take ownership from research production

Tools (Expected)

• Python
• PyTorch or TensorFlow
• Hugging Face (Transformers)
• scikit-learn
• LLM APIs (GPT, Claude)
• ML experiment tracking (MLflow / W&B)

Working knowledge

• SQL / Parquet / S3
• Embeddings & RAG (conceptual use)
• Entityrelationship modelling
• Semantic layers / knowledge graphs (mapping outputs)

Nice to have

• Vector DBs (FAISS / Pinecone)
• Graph DBs (Neo4j basic)

Why Join HG Insights?

• Work on high-impact AI products used by global enterprise customers.
• Lead the ML engineering strategy and shape our AI platform.
• Competitive compensation and benefits tailored for India-based employees.
• A collaborative and innovation-focused team environment.