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Senior Data ScientistBooksy • New York, New York, United States
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Senior Data Scientist

Booksy
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

Senior Data Scientist A career at Booksy means you’re part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their “me time” moments, we’re in the business of helping people thrive.
Working in a fast-moving scale‑up where priorities shift and not everything is perfectly defined is not for everyone. If you prefer rigid scope, narrow ownership, and purely research‑focused roles, this likely is not your place. But if you enjoy defining problems properly, owning delivery end to end, and building data products that real customers use every day, you will feel right at home.
The people you’ll like to work with and the impact you’ll enjoy driving: As a Senior Data Scientist , reporting to the Head of Data Science in our Data & Analytics team, your purpose will be to build and own machine learning powered features that directly improve our customer app and marketplace experience.
You will work on customer‑facing problems such as search and ranking, recommendations, segmentation, lifecycle modelling including activation, churn, and reactivation, lead scoring, and personalization. You will operate end to end, from shaping ambiguous product ideas into clearly defined problems, through modelling and experimentation, to deploying and monitoring production systems.
You will take real ownership. That may mean contributing to data pipelines, partnering closely with engineers on real‑time systems, and ensuring models are robust, scalable, and measurable against business KPIs such as conversion, retention, and revenue.
You will collaborate cross‑functionally with Product, Engineering, Marketing, and Pricing, acting as both a technical expert and a structured problem‑solver who can clearly communicate trade‑offs and impact.
Essentially, to ensure you succeed in this role you’re going to need…
Proven experience delivering machine learning solutions end to end in production, ideally in a marketplace or customer‑facing product environment
Strong experience with behavioural and customer data, including segmentation, lifecycle modelling, scoring, search, or recommendation systems
Strong Python and SQL skills, with the ability to work across modelling and data preparation
Experience working with cloud platforms, GCP preferred and AWS also welcome, and understanding how data pipelines are built and maintained
Demonstrated ability to define problems clearly, engage stakeholders, and communicate impact in commercial environments
At a minimum we require conversational‑level English language skills. English is our company language and is used for business‑wide communication.
It will also help you to have…
Experience applying NLP and LLMs to real product use cases. Generative AI is a plus but not the whole role
Experience working with real‑time or near real‑time systems
Exposure to pricing or marketing optimisation problems
Some of the benefits we offer are:
This is a fully remote position. We take pride in being a globally distributed team.
A generous holiday allowance of 26 days plus public holidays.
Access to a global learning and development program, wellness benefits, and discounts across partner platforms.
Our Diversity and Inclusion Commitment: We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at belonging@booksy.com, so we can best support you.
Kindly submit your application and CV in English to ensure it is successfully reviewed.
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  • New York, New York, United States

Sprachkenntnisse

  • English
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