We're looking for a Senior Data Scientist to join our fast-growing Data Science team focused on AI-first features. This role sits at the core of how Lusha personalizes the sales experience, designing and deploying end-to-end ML models that move real business metrics. You'll collaborate closely with ML engineers, product managers, and data engineers, and join weekly sessions where the team shares research, tests new ideas, and learns together.
Hands-on experience using AI development tools such as Cursor or Claude Code is a must for this role.
At Lusha, we're building for builders. We build fast and AI-first, so we look for builders. By a builder, we mean someone who turns "maybe" into "done".
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
- You enjoy solving complex business problems with both classic and SOTA ML techniques
- You are eager to build robust and efficient agentic pipelines that deliver unique value and experience for our users
- You like working with business stakeholders to define and prioritize problems solved through DS/ML pipelines
- You care about building highly personalized, data-driven experiences that directly move engagement, revenue, and retention
- You enjoy owning your solutions end to end, from success criteria to monitoring and maintenance
- You actively leverage AI tools to increase productivity and accelerate development
- 4+ years of hands-on Data Science experience, 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)
- Strong technical aptitude with the ability to quickly learn and adapt to new frameworks, tools, and systems
- Proven experience with tabular data, time series analysis, and building robust, scalable ML pipelines
- Experience with text-based data and NLP - Must
- Experience with agentic flow development - Must
- Proven track record of deploying end-to-end ML models into production - Must
Nice to have:
- Experience training models for adaptive or individualized user experiences
- Experience with Big Data technologies - Spark, Databricks
Skills Required
- 4+ years of hands-on Data Science experience, including developing machine learning systems
- MSc or PhD in a relevant quantitative field with a thesis
- Proficiency with Python, Spark, Pandas, NumPy, SciPy, and scikit-learn
- Ability to quickly learn and adapt to new frameworks, tools, and systems
- Experience with tabular data, time series analysis, and robust, scalable machine learning pipelines
- Experience with text-based data and Natural Language Processing
- Experience with agentic flow development
- Proven experience deploying end-to-end machine learning models into production
- Hands-on experience using AI development tools such as Cursor or Claude Code
- Experience training models for adaptive or individualized user experiences
- Experience with big data technologies such as Spark and Databricks
Lusha Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lusha and has not been reviewed or approved by Lusha.
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Healthcare Strength — Health coverage is described as robust, including an option for a fully covered individual plan plus dental, vision, life, and disability. Feedback suggests employer-paid individual medical options and comprehensive plan choices are available.
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Wellbeing & Lifestyle Benefits — Everyday perks such as meal stipends, snacks, commuter benefits and paid parking combine with wellness offerings like subsidized gym, fitness classes, and annual screenings. These lifestyle benefits are consistently featured for office-based teams.
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Retirement Support — A 401(k) plan is offered to support retirement savings. This is explicitly included alongside compensation packages in U.S. listings.
Lusha Insights
What We Do
At Lusha, we're building a future where every B2B sales professional is equipped with the data they need to succeed. Founded in 2016 by Assaf Eisenstein and Yoni Tserruya, our mission is to organize the world's business data while empowering our customers to uncover relevant revenue and growth opportunities. We're proudly GDPR compliant and maintain a globally compliant database. With a staggering reach of 1 million users and a database boasting over 200 million entries, including 45 million direct contacts in North America, 50 million enterprise and SMB business profiles, and 21 million GDPR-compliant European contacts, Lusha stands as an indispensable resource in the B2B landscape. Our community has surged to over 670,000 sales professionals and 223,000 sales organizations, proudly showcasing partners such as Zendesk, Google, and Yotpo. With significant investments totaling $240 million, we've transitioned from our bootstrap origins to unicorn status with a value estimation of $1.5 billion. Starting as a profitable bootstrap company and surviving solely on profits for 4.5 years, our journey is a testament to our commitment to innovation and the iconic brand we've become, continuously setting new standards in the industry. In total, Lusha has 300 employees globally in two sites—Tel Aviv and Boston. Our teams are the driving force behind everything we do, dedicated not only to meeting but exceeding our customers' needs. We understand the importance of connection, fostering a collaborative environment where every employee contributes to our success. Your voice matters, your ideas count, and together, we'll thrive. Join us on this journey to revolutionize B2B sales. Let's grow better together.
Why Work With Us
Welcome to Lusha, where culture isn't a label—it's our DNA. Dream-driven creators, user-centric innovators, and relentless learners, we thrive on simplicity, collaboration, and trust. Join us in shaping a company we're proud of—one where every voice matters and dreams fuel our journey.
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