Data Scientist

Job Summary We are looking for a highly analytical and business-savvy Data Scientist to join our global business intelligence & strategy team.

The ideal candidate is a data master who can translate complex datasets into clear, actionable business strategies, and build machine learning models that turn data into predictive, automated decision-making.

You will be responsible for detecting business abnormalities, performing deep-dive root cause analysis, developing predictive and analytical models, and delivering high-level summaries that guide our internal leaders and global clients.

Key Responsibilities

· Business Intelligence& Analysis: Deep-dive into customer behavior, business performance, and operational metrics to identify growth opportunities and potential risks. · Machine Learning &Modeling: Design, build, train, and deploy machine learning models (e. g.

, forecasting, classification, anomaly detection, customer segmentation, churn/risk prediction) to drive predictive insights and automate decision-making at scale. · Root Cause Investigation: Proactively identify data abnormalities (e. g.

, performancedips, operational shifts) and perform comprehensive root cause analysis toprovide clarity to stakeholders.

· Technical Execution: Develop and optimize automated data pipelines and dashboards using SQL and Python to ensure high-quality, real-time reporting, and operationalize models into production-ready workflows.

· Synthesis &Communication: Translate complex technical findings and model outputs into concise executive summaries and natural language insights for non-technical business leaders.

· Strategic Collaboration: Act as a bridge between data engineering and business units to ensure analytical and modeling solutions are perfectly aligned with real-world business needs.

Qualifications

· Educational Background: Bachelor's or Master's degree in a quantitative field (e.g.,Computer Science, Statistics, Data Science, Machine Learning, or Finance). · Technical Mastery: