Senior Data Scientist – Search

SproutsAI; Bengaluru; Hybrid; INR 800,000 - 1,500,000; Full time

Benefits offered by this job

Attractive compensation

Opportunity to work with top-notch teams

Work with a globally iconic brand

Job summary

SproutsAI is looking for a talented Data Scientist to join a global e-commerce client's Customer Experience Analytics team in Bengaluru. This role involves developing impactful machine learning solutions to solve complex business challenges.

The ideal candidate will have strong machine learning foundations, hands-on experience in model development, and proficiency in Python. Join a dynamic team that influences analytics for millions globally.

Qualifications

• Strong foundation in machine learning algorithms and statistical methods.
• Hands-on experience in building and deploying regression and classification models.
• Proficiency in feature engineering, model tuning, and evaluation.

Responsibilities

• Develop and evaluate machine learning models on large-scale datasets.
• Apply supervised and unsupervised learning to solve real-world problems.
• Collaborate with cross-functional teams on business challenges.

Skills

Machine learning algorithms

Statistical methods

Python programming

SQL

Big data tools

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics or related

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