Senior Analyst-Data Science

Role Overview

Core Responsibilities

• Develop scalable analytical solutions that enhance targeting precision, engagement effectiveness, and marketing ROI.
• Collaborate with data scientists, product managers, engineers, and business stakeholders.
• Accelerate data-driven decision making while maintaining Responsible AI and model-governance standards.

Shift Time

• Shift time is 1:30 PM to 9:30 PM IST.

Qualifications

• A degree in Engineering, Mathematics, Computer Science, Finance, Economics, Statistics, or a related quantitative field is preferred.
• Have 2+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles.
• Demonstrate strong Python and SQL programming skills.
• Have working knowledge of Hive and/or PySpark in large-scale data environments.
• Have hands-on experience developing machine learning models end to end and using Git-based version control.
• Have hands-on experience with LLM applications, including RAG, prompt engineering, semantic search, embeddings, structured outputs, or AI-powered assistants.
• Know supervised machine learning and statistical methods including hypothesis testing, multivariate testing, ANOVA, and model evaluation.
• Exposure to AI agent frameworks, vector databases, LLM orchestration, context management, or workflow automation is a plus.
• Be familiar with modern ML/AI development frameworks, open-source libraries, prompt lifecycle management, and evaluation frameworks.
• Be familiar with Responsible AI principles, including explainability, fairness, hallucination mitigation, prompt safety, monitoring, evaluation, audit readiness, and GenAI risk management.

Benefits

• Benefits include competitive base salary, bonus incentives, financial well-being and retirement support, and health insurance benefits depending on location.
• The employer offers flexible working arrangements depending on role and business need.
• The employer provides paid parental leave, wellness support, counseling, and career development opportunities, depending on location.

Employment Condition

• Employment is conditional on successful completion of a background verification check, subject to applicable laws and regulations.