Our Data Researcher will leverage advanced technologies to uncover high-quality B2B leads.
Key Responsibilities :
- Utilize AI / ML-based tools and third-party APIs to build comprehensive lead databases.
- Apply predictive analytics techniques to score and prioritize leads based on historical performance.
- Develop and maintain Python scripts or automated pipelines for large-scale data scraping and cleaning.
- Collaborate with Sales and Marketing teams to align data research efforts with campaign objectives.
Required Skills and Qualifications :
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.Expertise in Python / R for data scraping, cleaning, and analysis.Proficiency in web scraping tools like BeautifulSoup, Scrapy, or Selenium.Experience with data visualization platforms (Power BI, Tableau) and CRM systems (HubSpot, Salesforce).Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch) for predictive modeling.Preferred Skills :
Experience with vector databases or embedding-based search for advanced prospect matching.Familiarity with marketing automation platforms (Marketo, Pardot).Understanding of big data frameworks (Spark, Hadoop) for large-scale processing.