Staff Data Scientist – Graph Neural Networks (GNN) & Predictive AI

Neuron 7 seeks a Staff Data Scientist to lead NLP-driven solutions for its service intelligence platform, which uses structured and unstructured data to predict service outcomes in areas including high-tech devices, manufacturing and medical devices. The role is listed in Bengaluru as full-time and hybrid, with flexible arrangements to work from home or the Bengaluru office.

Responsibilities

• Lead the design, development and deployment of NLP solutions that process large volumes of unstructured data and reach live users.
• Design, train and optimize machine learning models; architect AI/ML products on Azure, GCP or AWS; and work with data engineering teams to integrate models into production systems.
• Use advanced SQL analytics to extract insights from structured data. Keep current with NLP and machine learning advances, mentor junior data scientists, explain technical concepts to non-technical stakeholders, and work with customers to turn their needs into technical solutions.

Required qualifications

• The posting states “8+ Years” near the title but separately requires a minimum of 10 years of data science experience focused on NLP and unstructured data processing.
• Experience with graph neural networks and extensive NLP work; a record of launching NLP products to live users; expertise in Python, PyTorch, NLTK and Scikit-learn; and experience with Transformer-based models such as BERT and GPT.
• Cloud deployment experience on at least one of Azure, GCP or AWS; familiarity with data engineering pipelines; SQL proficiency; ability to work with large-scale datasets; and strong problem-solving, communication, customer-facing and mentoring skills.

Preferred qualifications

Knowledge of MLOps deployment and monitoring practices; familiarity with Airflow, Spark or similar frameworks; and experience with customer-facing applications and APIs.

Benefits listed include a competitive salary without a stated amount, equity, spot bonuses, paid sick and parental leave, and comprehensive health insurance.