Senior Data Scientist – Search

Job Title: Senior Data Scientist – Search Company: SproutsAI Job Category: Machine Learning Roles & Responsibilities: About The Role We are looking for a talented Data Scientist to join customer's team and drive impactful machine learning solutions. You will work on complex, high\-impact problems by turning ambiguous business challenges into clear quantitative frameworks and production\-ready ML models. This role offers the opportunity to build, evaluate, and optimize models that directly influence product and business decisions. Key Responsibilities * Develop and evaluate machine learning models using techniques such as regression, classification, tree\-based methods (e.g., Random Forest, XGBoost, LightGBM), and clustering on large\-scale datasets * Apply both supervised and unsupervised learning approaches to solve real\-world problem * Perform end\-to\-end model development: feature engineering, feature selection, model tuning, hyperparameter optimization, and rigorous model evaluation. * Translate vague business requirements into well\-defined data science problems and deliver actionable ML solutions. * Collaborate with cross\-functional teams (Product, Engineering, Business) to identify opportunities and measure impact. * Monitor model performance and continuously improve existing solutions This is an urgent role, early joiners will be preferred* Work Location: Bengaluru, Karnataka, India Availability: Full time

Work Mode: Hybrid, 3 days a week for office at Bellandur, Bengaluru,* Overlap with US timings needed* About The Engagement We are recruiting on behalf of a global e\-commerce giant(full time on their payroll) \- a category creator that has pioneered online marketplaces for over two decades, connecting hundreds of millions of buyers and sellers across 190\+ markets worldwide. This is an exciting opportunity to be embedded within their Customer Experience Analytics team and drive data\-led decisions at a truly global scale. Requirements * Strong foundation in machine learning algorithms and statistical methods. * Hands\-on experience building and deploying models for regression, classification, and clustering tasks * Proficiency in feature engineering, feature selection, model tuning, and evaluation frameworks * Strong programming skills in Python (required); expert with SQL and big data tools is expected. * Ability to work with large datasets and translate business problems into quantitative, ML solutions. * Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field (or equivalent experience). Nice to Have * Experience in product analytics and experimentation (A/B testing, causal inference). * Prior exposure to search\-related problems such as ranking, relevance, recommendation systems, or personalization. Why Join * Attractive compensation and opportunity to work with top notch team * Work on analytics that shapes the experience of hundreds of millions of customers globally * Be embedded with a globally iconic brand that created and defined an entire e\-commerce category * Collaborate with cross\-functional teams across the US and India * Grow in a fast\-paced environment that actively embraces AI and emerging technologies Key Skills: Machine Learning, Python, Feature Engineering Salary: Not disclosed