Data Scientist

Description:

At Lusha, our product is powered by AI. Our $1.5B platform, trusted by Google, Zendesk, and Yotpo, powers B2B sales with recommendation systems, predictive analytics, and LLM-driven intelligence. With 1.5M+ users and 200M+ contacts, your work will directly shape how sales teams connect and win.

We’re building a fast-growing Data Science team focused on AI-first features. As a Data Scientist, you’ll design and deploy end-to-end ML models that move real business metrics while collaborating with ML engineers, product managers, and data engineers. You’ll also join weekly sessions where we share research, test new ideas, and learn as a team.

What will you be responsible for?

• Solving complex business problems using ML and data-driven techniques, using a wide range of both classic and relevant SOTA algorithms and technologies.
• Working against business stakeholders to identify, well-define, and prioritize business problems to be solved through DS/ML pipelines, with a focus on adapting the user experience for each individual.
• Developing and deploying predictive models on tabular and time-series data to provide a highly personalized and customized experience to each user, directly increasing user engagement, revenue growth, and customer retention.
• Defining success criteria for each goal, building and owning the monitoring flow and maintenance plan for each solution.
• Collaborating closely with a cross-functional Data Science team consisting of ML engineers, product managers, and data engineers.
• Continuously self-learning, growing professionally, and mentoring younger team members.

Technical Skills & Experience

• Minimum 3 years of hands-on Data Science work, including developing ML systems.
• MSc or PhD in a relevant quantitative field (e.g., Computer Science, Statistics, Applied Math, Physics, Engineering) with a thesis.
• Proficiency with Python (Spark, Pandas, NumPy, SciPy, scikit-learn).
• Proven experience with tabular data, time series analysis, and building robust, scalable machine learning pipelines.
• Proven experience using AI development tools such as Cursor or Claude Code to enhance productivity.
• Experience with Big Data technologies (Spark).
• Proven track record of deploying end-to-end ML models into production.

On a personal level:

• Collaboration: You are a true team player who thrives in cross-functional teamwork, working seamlessly with other teams while leading efforts within the Lusha data science team in a collaborative manner.
• Independence & Ownership: You take initiative, pick up tasks quickly, and are capable of driving projects independently from ideation through to implementation. You plan, execute, and deliver End-to-End results without requiring constant supervision.
• Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment, and can operate at the strategic level and the micro-detail to get things done.
• Results-driven. You have a can-do approach and, drive to exceed your goals.
• Business-oriented. You are interested in our business, products, and services, and know how to translate business needs into personalized ML solutions.
• Organized. You can manage highly interdependent, multifaceted projects and keep various work streams on track—even those with many moving parts.
• Story Teller. You have good communication skills and are confident in presenting your results and ideas clearly and concisely.

Bonus Points:

• Experience with training models for adaptive or individualized user experiences.
• Familiarity with text-based data and NLP.
• Familiarity with agentic flow development.

We’re dreamers, innovators, and learners, driven by simplicity, collaboration, and trust.

At Lusha, your work matters. Your voice is heard. And your growth is part of our growth.

Ready to join us? Let’s drive revenue, together.