
Senior Data Scientist
Skan AI
Posted 2026-04-30
INR 65 - INR 70 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
Senior Data Scientist driving end‑to‑end ML model and data pipeline development for Skan AI's agentic AI platform. Owns model lifecycle, production support, and mentors junior teammates while collaborating cross‑functionally with product and engineering.
Role Snapshot
- Hands‑on ML model development
- Large‑scale data pipeline ownership
- Production issue diagnosis
- Mentoring junior data scientists
- Cross‑functional collaboration
Must-Have Requirements
- Python
- Spark or Databricks
- Proficiency in at least two of supervised/unsupervised ML, NLP, deep learning, sequence modelling, process mining
- Clear, concise communication
- building and shipping ML solutions
- large‑scale data processing
- model lifecycle ownership
- M.S. or B.Tech/B.E. in Computer Science, Statistics, Mathematics, or related quantitative field
- Hybrid work location in Bengaluru, India
Nice-to-Have Signals
- MLflow or Weights & Biases
- Exposure to process mining, RPA, workflow analytics
- Familiarity with LLMs, transformer models, multimodal pipelines
- process mining and workflow analytics exposure
- experience with experiment tracking tools
Work Setup
- Location: Bengaluru, India
- Work mode: HYBRID
- Remote scope: UNSPECIFIED
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
What You'll Likely Work On
- Design, train, evaluate and iterate ML models for task detection, workflow segmentation and pattern recognition
- Build and maintain scalable data pipelines that ingest multimodal enterprise data using Spark or Databricks
- Own data quality and model health through validation checks, drift detection and automated monitoring
- Diagnose and resolve production data or model issues in customer environments, partnering with Customer Success
- Guide junior data scientists through code reviews, pair programming and knowledge‑sharing sessions
- Collaborate with product and engineering to scope data work, prioritize features and communicate insights to non‑technical stakeholders
Good Fit If You Have
- Enjoys writing clean, testable Python code
- Thrives on solving ambiguous, real‑world data problems
- Eager to help junior teammates grow
Skills
- Python programming
- Distributed data processing (Spark/Databricks)
- Supervised & unsupervised ML, NLP, deep learning, sequence modelling, process mining
- Experiment tracking (MLflow, Weights & Biases)
- LLM & transformer‑based pipelines
- Process mining, RPA, workflow analytics
- Clear technical communication