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

Ovii's Interpretation of the Role

Staff Data Scientist leading the design, development, and deployment of NLP and graph‑neural‑network solutions for a service‑intelligence platform. Works hands‑on with large unstructured datasets, mentors junior scientists, and partners with customers to translate needs into AI products.

Role Snapshot

• Lead NLP & GNN product development
• Design and deploy AI models on cloud
• Mentor junior data scientists
• Collaborate with engineering and customers
• Scale solutions for large unstructured data

Must-Have Requirements

• Python
• NLP
• Graph Neural Networks
• PyTorch
• NLTK
• Scikit-learn
• Transformer models (BERT, GPT)
• Cloud platforms (Azure, GCP, AWS)
• SQL
• Data science
• Unstructured data processing

Nice-to-Have Signals

• MLOps practices
• Airflow
• Spark
• Customer‑facing APIs
• Data engineering pipelines
• MLOps
• Customer‑facing applications

Work Setup

• Location: Bengaluru, India
• Work mode: HYBRID
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Lead end‑to‑end development of NLP pipelines for unstructured data at scale
• Design, train, and optimize GNN‑based and transformer models
• Architect and deploy AI/ML services on Azure, GCP, or AWS
• Integrate models with data‑engineering pipelines and production systems
• Perform advanced SQL analytics to derive actionable insights
• Stay current with state‑of‑the‑art NLP research and techniques
• Mentor junior data scientists and promote technical excellence
• Communicate model capabilities and results to non‑technical stakeholders and customers

Good Fit If You Have

• Enjoys mentoring and building technical capability in junior teammates
• Comfortable translating complex AI concepts for customers and cross‑functional partners
• Thrives in a fast‑moving startup environment with high‑impact product delivery