Analyst-Data Science

About the role

Leveraging a broad analytical toolkit—including advanced machine learning, predictive modeling, optimization, and Generative AI—the role supports the end-to-end development of scalable analytical solutions that enhance targeting precision, engagement effectiveness, and marketing ROI.

What you'll do

• Working closely with data scientists, product managers, engineers, and business stakeholders
• Execute analytical and data science solutions to solve business problems using statistical techniques, machine learning, and modern Generative AI approaches
• Develop, test, and maintain analytical models and AI-enabled data products—including predictive models, prospect scoring, prioritization, matching, enrichment
• Design, build, and evaluate Generative AI workflows, including Retrieval-Augmented Generation (RAG) , embedding-based retrieval , semantic search , prompt engineering
• Design and execute experiments to evaluate prompting strategies, retrieval configurations, model selection, and workflow architectures

What you need

• 1–4 years in data science & ai
• Machine learning
• SQL
• LLMs
• Python
• Prompt engineering
• Statistics
• Any graduate

Good to have

• Spark
• Hive
• Git