Senior Data Scientist

Ovii's Interpretation of the Role

Skan AI seeks a senior data scientist to design, build, and own end‑to‑end machine‑learning models and data pipelines that power its agentic AI platform. The role blends hands‑on engineering, production support, and mentorship of junior teammates in a fast‑growing enterprise AI environment.

Role Snapshot

• Hands‑on ML model development
• Large‑scale data pipeline ownership
• Production model monitoring & debugging
• Mentor junior data scientists
• Cross‑functional collaboration
• Experiment design & statistical analysis

Must-Have Requirements

• Python
• Spark or Databricks
• ML model development
• Data pipeline engineering
• Production model support
• Statistical experiment design
• Clear technical communication
• building and shipping ML solutions
• large‑scale data processing
• M.S. or B.Tech/B.E. in Computer Science, Statistics, Mathematics, or related quantitative field

Nice-to-Have Signals

• Process mining / RPA
• MLflow or Weights & Biases
• LLMs / transformer models
• Product‑focused startup experience
• process mining
• product‑focused startup environment

Work Setup

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

Not Specified in JD

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

What You'll Likely Work On

• Build, train, evaluate and iterate ML models for task detection, workflow segmentation, pattern recognition and process discovery
• Own the full modelling lifecycle—from data exploration and feature engineering to model selection, hyperparameter tuning and validation
• Design and run disciplined experiments with clear hypotheses and statistically rigorous evaluation
• Develop and maintain production‑ready Python code and robust data pipelines on Spark/Databricks or equivalent platforms
• Define data‑quality checks, monitor pipeline health, detect drift and proactively resolve issues
• Partner with engineering, product and customer‑success teams to optimise ingestion, feature generation and model performance
• Diagnose and fix model or data issues in customer environments and build internal diagnostic dashboards
• Guide junior data scientists and analysts through code reviews, pair programming and knowledge‑sharing sessions

Good Fit If You Have

• Enthusiastic about mentoring junior teammates
• Enjoys debugging complex data problems under tight timelines
• Interest in frontier process‑intelligence domains such as process mining or RPA