Data ScientistLocation : NoidaEmployment Type : Full-timeWork Mode : Hybrid | 2 - 3 days working from the office per weekExperience Required : 8 - 12 YearsAbout the Role :We are looking for a Data Scientist to own the analytical and modelling lifecycle from framing an ambiguous business question through to a deployed decision-ready insight. You will also help shape how our team uses AI Tools responsibly across the modelling workflow.Statistical & Quantitative Analysis :- Own the full analytical lifecycle, including preprocessing EDA, and statistical modelling, and deliver insights framed in business terms.Model Development & Deployment :- Design, build, and deploy predictive and ML models (regression, classification, clustering, time-series) into production or decision-support workflows owning evaluation, validation, and iterative improvement.Experimentation :- Own A/B test design, execution, and analysis, and communicate statistical significance and uncertainty clearly to product and business stakeholders.Data Pipeline Contribution :- Partner with Data Engineers to define data requirements and feature pipelines, and build or maintain analytical datasets and feature stores.Stakeholder Collaboration :- Translate ambiguous business questions into well-defined analytical problems and present findings to both technical and non-technical audiences.Data Quality,



Governance & AI Enablement :- Champion data quality, apply governance best practices, and mentor junior Scientist or responsible AI use.Required Skills & Qualifications :- Bachelor's degree required : Master's in Data Science, Statistics, ML, or equivalent preferred.- 8 - 12 Years as a Data Scientist or in an equivalent ML role, with end-to-end ownership of modelling and experimentation workflows.- Robust Python (Pandas, NumPy, Scikit-learn); Sql, including window functions.- Experience with MLflow, W & B, or similar; basic cloud platform familiarity.- Solid hypothesis testing, regression, and experimental design; familiarity with casual interface (DiD, regression discontinuity).- Ability to communicate statistical uncertainty to non-technical stakeholders.- AI Literacy :- Uses AI tools across the modelling lifecycle (EDA, feature engineering, development, communication).- Applies advanced iterative prompting and structured governance to AI generated outputs.- Mentors junior scientists or responsible AI use.Technology Stack :- Languages : Python, SQL- Libraries : Pandas, Numpy, Scikit-learn- ML Frameworks : XGBoost, LightGBM, TensorFlow/PyTorch- Experiment Tracking : MLflow, Weights & Biases (or similar)- Cloud : AWS, Azure, or GCP- AI Tools : LLM assistants and code copilots (ref:hirist.

📌 Senior Data Scientist - Machine Learning, AI (Noida)
🏢 Sapwood Ventures Pvt.Ltd
📍 Noida