Senior Data Scientist – Search

SproutsAI; Bengaluru; Hybrid; INR 2,500,000 - 4,200,000; Full time

Benefits offered by this job

Competitive salary

Global exposure

Hybrid work model

Job summary

SproutsAI in Bengaluru invites a Data Scientist to join its Customer Experience Analytics team, working on ML models that influence product and business decisions. The role is full-time on their payroll with a hybrid work mode (3 days in office at Bellandur) and requires overlap with US timings.

You will develop and evaluate models using regression, classification, clustering, and tree-based methods on large-scale datasets.

Qualifications

• 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.
• Bachelor’s or Master’s degree in a quantitative field.

Responsibilities

• Develop and evaluate ML models on large-scale datasets using regression, classification, and clustering.
• Apply supervised and unsupervised learning to real-world problems and deliver actionable ML solutions.
• End-to-end model development: feature engineering, tuning, evaluation, and deployment.
• Collaborate with Product, Engineering, and Business teams to identify opportunities and measure impact.
• Monitor and iteratively improve model performance.

Skills

ML algorithms

Model deployment

Python programming

SQL expertise

Feature engineering

Model evaluation

Education

Bachelor's or Master's in CS/Stats/Math

Tools

Big data tools

Cloud ML platforms

Job description

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.

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

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

This is an urgent role, early joiners will be preferred