Senior Data Science - R01560392

About the role

Translate complex business problems into structured, data- and model-driven narratives. Partner with stakeholders to frame ambiguous problem statements, perform deep exploratory Data Analysis (EDA), Visualizations, Hypothesis A/B Testing/ What-if analysis and scenario modeling, Algorithm development to identify inefficient sectors (DL/UL) by flagging outliers using performance KPIs.

What you'll do

• Translate complex business problems into structured, data- and model-driven narratives. Partner with stakeholders to frame ambiguous problem statements
• Communicate statistically sound, model-backed insights that directly influence strategic and operational decisions
• Develop, evaluate, and iterate on analytical, machine learning, and hybrid AI models to uncover patterns, trends, and anomalies
• Ensure consistency and reliability across diverse data sources through strong data validation, monitoring
• Collaborate with cross-functional teams (data engineering, SRE, platform, and business teams) to operationalize AI-driven insights, ensure reliability

What you need

• Machine learning
• SQL
• Python
• AWS
• Data analysis
• GCP
• Any graduate

Good to have

• R
• Azure
• ETL
• BigQuery
• Data visualisation