Analyst-Data Science

ByteBodh; India; On-site; INR 600,000 - 1,200,000; Full time

Job summary

ByteBodh in India is seeking a junior Data Scientist to own analytics for US Small Business engagement, identifying growth opportunities and delivering actionable customer insights.

You will partner with Product, Marketing and stakeholders to translate strategic questions into analytical plans, and design experiments to measure impact across campaigns and channels. Strong SQL and Python skills are essential.

Qualifications

• Master's degree in a quantitative field is required.
• 0–2 years of professional data science/analytics experience.
• Strong SQL proficiency and experience with large datasets.
• Experience with Python or similar analytical tools.
• Understanding of test & control, experimentation and statistics.
• Experience with modeling techniques (XGBoost, clustering, trees, regression).
• Excellent analytical thinking and ability to translate analytics into recommendations.

Responsibilities

• Own analytics for customer engagement growth opportunities and insights.
• Partner with Product, Marketing and stakeholders to translate questions into plans and targets.
• Design scalable Test & Control, campaign measurement and diagnostics.
• Apply statistical and ML modeling techniques to solve engagement and targeting problems.
• Automate analytics processes and dashboards; explore AI capabilities for speed and personalization.

Skills

SQL

Python

Analytics thinking

Communication

Education

Master's degree in quantitative field

Tools

XGBoost

Clustering

Decision trees

Regression

Job description

• Own analytics for U.S. Small Business customer engagement across Spend, Lend and Beyond-the-Card priorities by identifying growth opportunities, developing customer-level insights, and recommending segmentation and targeting strategies to improve customer outcomes.
• Partner with Product, Marketing and business stakeholders to translate strategic questions into analytical plans, campaign design recommendations, success metrics and actionable business recommendations.
• Design and scale Test & Control, campaign measurement and performance diagnostic frameworks to quantify incremental impact, return on investment and optimization opportunities across targeting, messaging, offer design and channel strategy.
• Apply statistical, machine learning and modeling techniques—including regression, decision trees, clustering and XGBoost—using SQL, Python and large-scale customer, transaction and campaign datasets to solve engagement, propensity and targeting problems.
• Automate and standardize analytical processes, dashboards and measurement assets while exploring AI and GenAI capabilities to improve speed, accuracy, scalability, personalization and customer engagement.

Requirements

• Master's Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
• 0-2 years of professional experience in Data Science and Analytics.
• Strong proficiency in SQL and working with large datasets; experience with Python or similar analytical tools.
• Understanding of Test & Control, experimentation, campaign measurement and statistical techniques.
• Experience with modeling techniques such as XGBoost, clustering, decision trees and regression.
• Strong analytical and conceptual thinking to solve unstructured business problems.
• Excellent written and verbal communication skills with the ability to translate analytics into actionable business recommendations.