Data Researcher
We are seeking a skilled professional to leverage advanced AI, data science, and automation techniques to identify, enrich, and deliver high-quality business leads.
The ideal candidate will lead the development of actionable intelligence, predictive insights, and accurate datasets for our business development and marketing teams.
- Lead Identification & Enrichment : Build high-quality business lead databases using AI / ML-based tools, web scraping frameworks, and third-party APIs. Enrich and validate prospect data from multiple data sources.
- Data Analysis & Predictive Modeling : Apply machine learning techniques to score and prioritize leads based on historical performance. Conduct trend analysis to refine Ideal Customer Profiles (ICP) and suggest new target segments.
- Automation & Tool Development : Build and maintain scripts or automated pipelines for large-scale data scraping and cleaning. Evaluate and integrate language model-based tools for intelligent data extraction and enrichment.
- Collaboration & Reporting : Partner with Sales and Marketing teams to align data research efforts with campaign goals. Deliver dashboards and insight reports to track lead quality, conversion trends, and market opportunities.
Requirements :
Bachelor's / Master's degree in Data Science, Computer Science, Statistics, or a related field.3–5 years of experience in B2B lead research, sales intelligence, or data analytics roles.Proven expertise in Python / R for data scraping, cleaning, and analysis.Preferred Skills :
Experience with vector databases or embedding-based search for advanced prospect matching.Familiarity with marketing automation platforms.