HoneyBook is the leading business and financial management platform for independent small businesses and freelancers. By combining tools like billing, contracts and client communication, HoneyBook helps business owners get organized so they can provide top-tier service at every step. HoneyBook is trusted by independent  businesses across the U.S. and Canada who have booked more than $5B in business on our platform. Every day at HoneyBook we are on a mission to empower the freelance economy to rise together, doing what they love.

Our award-winning culture is built on core values that drive everything we do, including putting people first. 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 on the search for an excellent hands-on data scientist to join the team in our Tel Aviv HQ. You will be joining our data team and act as a key participant in leveraging machine-learning algorithms, NLP and data science approaches for the benefit of small businesses.

The ideal candidate will be a reliable team player with a strong background in data science, NLP and applied machine-learning. You will be expected to explore and use state-of-the-art techniques and methods to the benefits of our customers who rely on our product to run their business.  

This hire will impact the company from day one. Are you up for the challenge?

Here are a few of the things you’ll do…

  • Use cutting edge machine learning algorithms and data science approaches in developing valuable solutions that help small businesses.
  • Apply your creativity to research and explore new applications in various tasks (natural language understanding, classification ,recommendation systems, clustering and more).
  • Take an active role in the realization and implementation of each project, and drive it throughout its entire cycle – from research and all the way to integration within our core technology offering.
  • Become a key player and evangelist of data in HoneyBook. Collaborate with both development and product teams to drive superior results in a timely manner.

 

Here’s what you’ll need to be successful…

  • 3+ years experience as a data-scientist
  • Strong background in Python
  • Creative problem-solving skills. You take unique approaches to tackle your work
  • Experience in NLP – strong advantage
  • Hands-on experience in applying machine learning models in real-world problems
  • Passion for collaboration and achieving growth in a fast-paced environment.
  • Ability to work autonomously and self-direct workload.
  • Intellectually curious. You are not satisfied with the status quo and always thinking about what is next.
  • Excellent communication skills (Hebrew & English)  with the ability to distill complex problems into clear and concise insights.
  • Good understanding of data and its limitation: sampling, frequency, manipulation and cleaning
  • Working Experience in Cloud-based environments is a plus



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. Our company, like the members we serve, thrives on creativity and risk-taking; in seven years, we’ve become the biggest and the most widely recognized player in the service provider space. To date, HoneyBook has raised $498M and is backed by investors such as Tiger Global Management, Norwest Venture Partners, Aleph, Hillsven Capital, Our Crowd, Durable Capital Partners LP, Vintage Investment Partners, Battery Ventures, Citi Ventures, Zeev Ventures and 01 Advisors.

Follow us on Medium and Instagram and catch the latest stories about HoneyBook. Read about what our employees are saying about us on Glassdoor

 

HoneyBook is committed to diversity, inclusion and belonging and is proud to be an equal opportunity employer. We do not tolerate discrimination and do not make hiring or employment decisions on the basis of race, religion, color, national origin, sex, gender identity, age, disability, marital status, veteran status, or other applicable legally protected characteristics. We also consider qualified applicants with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance. We strive for the best candidate experience for all applicants and if you need special assistance, please let us know. 

At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your responses will be used to help us identify areas of improvement in our recruitment process. We can only see aggregate responses and are unable to view individual responses. In fact, we aren’t even able to see if you’ve responded or not! Responding is your choice and it will not be used in any way in our hiring process.




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