Job Summary

instinctools is a software development company that provides custom software solutions for businesses of all sizes. Our team works closely with clients to understand their specific needs and provide personalized solutions that meet their business requirements.

We are looking for a Middle Data Scientist to join our team and help drive the adoption of AI-first engineering practices across delivery projects, teams, and internal initiatives.

Location: Noida

Project Description

The project covers the full Data Science and ML lifecycle, from problem definition to model deployment and monitoring, with an opportunity to actively shape and drive the team's analytical and ML direction.

Responsibilities and Tasks

- Own the full analytical lifecycle, including data preprocessing, EDA, statistical modeling, and delivery of business-focused insights;
- design, build, deploy, evaluate, and continuously improve predictive and ML models, including regression, classification, clustering, and time-series models;
- own A/B test design, execution, and analysis, and clearly communicate statistical significance to product and business stakeholders;
- collaborate with Data Engineers to define data requirements and feature pipelines, and build or maintain analytical datasets and feature stores;
- translate ambiguous business questions into well-defined analytical problems and communicate findings to both technical and non-technical audiences;




- champion data quality across modeling workflows and ensure adherence to data governance policies and best practices;
- integrate AI tools across the modeling lifecycle, including EDA, feature engineering, development, and communication;
- use advanced iterative prompting to accelerate experiment design, code generation, and reporting while applying structured governance to AI-generated outputs;
- mentor junior Data Scientists on responsible AI use and contribute to the team's AI literacy practices.

Our Expectations of the Candidate

- Education: Bachelor's required; Master's in Data Science, Statistics, ML, or equivalent preferred.
- Experience: 2-4 years as a Data Scientist or equivalent ML role, owning model-development and experimentation workflows end-to-end.
- Technical Skills: Solid Python (Pandas, NumPy, Scikit-learn; XGBoost/LightGBM/TF/PyTorch at working level); SQL with window functions; MLflow / WB or similar; basic cloud-platform familiarity.
- Statistics: Solid hypothesis testing, regression, experimental design; causal inference concepts (DiD, regression discontinuity); communicating statistical uncertainty to non-technical stakeholders.
- Other: Track record of insights directly influencing product or business decisions.

English level

English level: Upper-Intermediate or higher

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Middle Data Scientist (Noida)
🏢 Instinctools
📍 Noida