Staff Data Scientist
Tel Aviv
HoneyBook
HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance—not replace—independent professionals, HoneyBook’s AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter.
Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and have a growth mindset. We know experience comes in many forms, some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually-charged environment and have similar experience to what we are looking for, we encourage you to apply.
We’re looking for a Staff Data Scientist to join our dynamic and collaborative team in Tel Aviv. In this role, you will shape strategic initiatives in the domain of AI and algorithm development, driving the creation of deep and innovative capabilities that push the boundaries of AI-driven solutions. By blending cutting-edge methods in Generative AI and Applied Machine Learning, you’ll play a pivotal part in defining our next generation of advanced, data-driven products and services.
Here are a few of the things you will do:
- Collaborative Team Player: Foster an environment where colleagues can thrive. Seek opportunities to enhance team effectiveness, share expertise, and promote a culture of continuous learning.
- Lead Applied Research & Development: Drive projects from focused, time-bound experimentation using scientific tools to delivering robust, production-ready solutions.
- Strategic Impact: Partner with cross-functional stakeholders to identify, prioritize, and execute on high-impact AI and ML initiatives, ensuring alignment with business objectives.
- Hands-On Innovation: Stay up-to-date with the latest technical and scientific advancements in AI, maintaining an experimental mindset to test, adopt, and refine emerging techniques—particularly in Generative AI and LLMs.
- Full Solution Ownership: Take accountability for project outcomes—gathering requirements, developing data-driven solutions, and ensuring smooth deployment and operation through best-in-class MLOps practices.
Here is what is needed:
- Strong problem-solving mindset, with a passion for continuous innovation.
- 8+ years of professional experience in Data Science/ML Engineering roles, including at least one role with a tenure of two years or more in the same organization.
- A Master’s or Ph.D. degree in Computer Science, Engineering, or a related field.
- Demonstrated accountability and stakeholder management: Capable of gathering requirements and translating them into actionable, data-driven solutions, while taking full ownership of the outcomes.
- Proven track record of deploying ML solutions to production, adhering to proper MLOps practices throughout the model lifecycle.
- Experience in fine-tuning LLMs, adapting them to domain-specific problems.
The good stuff:
- Mission-driven: You'll be joining more than just another startup - our members are at the heart of everything we do.
- Impact: We move quickly and encourage every employee to push the envelope. Our best ideas come from out-of-the-box thinking and innovation; be ready to fail fast and often!
- Compensation: We offer a competitive salary + meaningful equity based on merit.
- Benefits + Perks: From wellness programs to exceptional family leave policies, the health and happiness of our employees is foremost.
Our core values:
People come first: We prioritize people as we explore opportunities and work through challenges.
Raise the bar: We push for greatness—for ourselves, each other, and our members.
Own it: Trust and ownership let us make decisions with confidence.
We love what we do: We bring passion to our work and love what we create for our members.
Keep it real: Authenticity, respect, and transparency are at our core.
The opportunity at HoneyBook is huge. Our primary customers today are creative businesses that generate $150B in revenue per year in the US. Founded in 2013, HoneyBook is based in San Francisco and Tel Aviv, has raised $498M, and is funded by Tiger Global Management, Norwest Venture Partners, Aleph, Hillsven Capital, OurCrowd, Durable Capital Partners LP, Vintage Investment Partners, Battery Ventures, Citi Ventures, Zeev Ventures, and 01 Advisors.
Follow us on Instagram, Facebook and Medium and catch the latest stories about HoneyBook. Read about what our employees are saying about us on Glassdoor.
Applicant Information
When you apply for a job or an independent contractor/agent position with HoneyBook, we collect the information that you provide in connection with your application. This includes name, contact information, professional credentials and skills, educational and work history, and other information that may be included in a resume or provided during interviews (which may be recorded). This may also include demographic or diversity information that you voluntarily provide. We may also conduct background checks and receive related information.
We use applicants’ information to facilitate our recruitment activities and process applications, including evaluating candidates and monitoring recruitment statistics. We use successful applicants’ information to administer the employment or independent contractor relationship. We may also use and disclose applicants’ information (a) to improve our Services, (b) as otherwise necessary to comply with relevant laws, (c) to respond to subpoenas or warrants served on HoneyBook, and (d) to protect and defend the rights or property of HoneyBook or others.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Engineering Generative AI LLMs Machine Learning MLOps Privacy R&D Research Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Health care Startup environment Transparency Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.