Here is the gist:

HoneyBook is the leading clientflow management platform that makes it easy for independent business owners to sell and deliver their services online. Offering powerful tools for communication, contracts, invoicing, payments, and more, the platform puts independent professionals in control of their process and client experience. HoneyBook is trusted by over 100,000 service-based businesses in the United States and Canada that have booked more than $10 billion in business on the platform.

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 different 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 are looking for a Senior Data Scientist to join our dynamic team in our Tel Aviv office. The Ideal candidate will have a solid understanding of classic machine learning, natural language processing, and experience with data pipelines related to large language models (LLMs).

Here are a few of the things you will do:

Translate complex business problems into actionable data science solutions. Engineer data pipelines to retrieve, collect, and process large volumes of structured and unstructured data. Develop algorithm, use SOTA genAI models and classical ML models , to improve company key metrics Communicate your work, impact, and results effectively to both technical and non-technical stakeholders. Being a part of a team of highly professional data scientists and data engineers, you'll enrich and learn from this collaborative environment while independently spearheading data-driven initiatives across the company.

Here is what is needed:

A collaborative, communicative and comitted team-player 5+ years of experience in data science\ML engineer roles Proficiency in Scientific Python Innovative problem-solving mindset Passion for working on pipelines that involve large language models (LLMs) and leveraging them in engineering processes Having the ability to engage effectively with various stakeholders, understand their requirements, and translate these into data-driven solutions  Solid understanding of data science fundamental topics including sampling, frequency, manipulation, and cleaning Solid understanding of MLOps practices, encompassing the lifecycle of machine learning models from development to deployment and monitoring from an engineering standpoint

Preferred Qualifications:

A Master’s or Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field Experience in NLP Previous work in a Cloud-based environment Experience with generative AI models The opportunity at HoneyBook is huge – our primary customers today are creative businesses that generate in aggregate $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.

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