Offer summary

Qualifications:

Master's degree in Computer Science, Statistics, or a related field., Proven experience in machine learning and data analysis., Strong programming skills in Python and familiarity with data manipulation libraries., Experience with recommender systems and large datasets..

Key responsibilities:

Develop and implement advanced recommender algorithms.

Analyze user data to improve recommendation accuracy.

Collaborate with cross-functional teams to integrate recommendations into products.

Present findings and insights to stakeholders and management.

Lusha is the sales intelligence platform designed to help businesses get their next customers. Our platform provides access to the most accurate and fully compliant global database of companies and decision-makers, powered by insights from over 1.5 million users. The more users engage with Lusha, the more personalized it becomes. The platform offers tailored, signal-based recommendations on who to connect with, when, and why—so they can engage with the right people at the right time. Lusha empowers over 280,000 go-to-market teams worldwide, including: Google, Snowflake, Palo Alto, deel, and Salesloft.

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