Senior Data Scientist

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Tel Aviv
Internship
Fintech • Other • Payments • Productivity • Software • Automation
Supporting independent service-based businesses with the tools they need to be successful doing what they love.
The Role

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.

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.

Our Privacy Policy is here. 

What the Team is Saying

Christian
Allen
Lily
Lorenzo
The Company
233 Employees
Hybrid Workplace
Year Founded: 2013

What We Do

HoneyBook is here for the self-starters. The independents. Those who’ve claimed freedom over their career, finances, and future. Those paid for a profession that’s also their passion.

We’re on a mission to empower this economy of independents to rise, building fulfilling and sustainable livelihoods by doing what they love. We champion technology as our ally in supporting our members in this pursuit.

We can’t fulfill this mission without incredible talent. Our culture is founded on core values that drive everything we do, starting with always putting people first.

Why Work With Us

Our culture is founded on core values that drive everything we do, starting with always putting people first. Our team is a mission and values-driven team fueled by passion and purpose. At HoneyBook, we believe you are the driver of your career and growth - we're here to support you along the way.

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HoneyBook Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Hybrid in the SF HQ or NY hub 2-3 days per week.

Typical time on-site: 2 days a week
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San Francisco, CA
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Tel-Aviv, Israel
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