Data Scientist II

Job Title: Data Scientist II Company: Skan AI Job Category: Data Science Roles & Responsibilities: Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises. The Role Hands-On Modelling & Algorithm Development * Build, train, evaluate, and improve ML models that power core Skan.ai features including but not limited to task detection, workflow segmentation, behavioral pattern recognition, process discovery, and variant analysis. * Own the full modelling lifecycle: data exploration, feature engineering, model selection, hyperparameter tuning and validation. * Run disciplined experiments: define clear hypotheses, design evaluation frameworks, and present findings with statistical rigour. * Explore and apply techniques from deep learning, NLP, time-series analysis, and unsupervised learning to real process intelligence problems. * Write clean, well-tested, production-ready Python code that your teammates can maintain and build on. * Design and build reliable data pipelines that handle high volumes of multimodal enterprise data such as screen telemetry, event logs, clickstreams, and structured process data. * Own data quality at every step: define validation checks, detect drift, monitor pipeline health, and fix issues proactively. * Collaborate with engineering to optimise ingestion and feature generation workflows for speed, cost, and reliability. Customer Issue Diagnosis & Production Support Work Location: Bengaluru, Karnataka, India Availability: Full time

* Work closely with product and engineering to understand requirements, scope data work, and deliver on time. * Communicate findings clearly to non-technical stakeholders; translate model outputs and data insights into plain language that drives decisions. * Contribute technical input to sprint planning and quarterly priorities; flag feasibility concerns early and propose alternatives. * M.S. or B.Tech/B.E. in Computer Science, Statistics, Mathematics, or a related quantitative field or equivalent hands-on experience. * 3–7 years of industry experience building and shipping data science or ML solutions in production. * Strong Python skills with clean, modular, testable code as a baseline expectation. * Solid experience with large-scale data processing using Spark, Databricks, or similar distributed frameworks. * Proficiency in at least two of: supervised/unsupervised ML, NLP, deep learning, sequence modelling, or process mining. * Experience diagnosing and fixing real-world data quality and model behaviour issues in production systems. * Clear, concise communication: you can explain a complex model or a data issue to an engineer, a PM, or a customer success manager without jargon. * Exposure to process mining, RPA, workflow analytics, or enterprise operations intelligence. * Familiarity with LLMs, transformer-based models, or multimodal learning pipelines. * Prior experience in a product-focused startup or scale-up environment. Key Skills: Data Science, Python, Statistics Salary: Not disclosed