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Senior Data Scientist - Agentic AI

Role overview

Qualifications

  • 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

Responsibilities

  • Build and own machine learning powered features that improve customer app and marketplace experience
  • Operate end to end from shaping product ideas into defined problems, through modelling, to deployment and monitoring of production systems
  • Contribute to data pipelines and partner closely with engineers on real-time systems
  • Collaborate cross-functionally with Product, Engineering, Marketing, and Pricing

About the company

Booksy logo

Booksy

Information Technology & Services

Booksy is a cloud-based appointment booking software for hairstylists, nail artists, barbers, braiders, estheticians, massage therapists, salons, spas, and more. Our mission is to be the most trusted solution for appointment-based service providers, delivering tools and connecting communities to foster rhythm, organization, and opportunity. Booksy provides automated appointment scheduling, calendar management, payments, and a suite of built-in marketing tools to help beauty professionals manage all aspects of their business. We offer two mobile applications for business owners, available on both iPhone and Android. Booksy Biz Lite is geared towards independent professionals and solopreneurs, while Booksy Biz Pro was designed for ambitious independents and multi-staffer shops. For clients, we offer a Booksy for Customers web and mobile application. Over 23 million clients around the world count on Booksy to help them find trusted local beauty providers and book an appointment anytime, anywhere. Booksy is proud to be the world’s largest Beauty Booking Marketplace and the global leader in appointment scheduling in the US, UK, Spain, and Poland. We are available in 6 countries and our platform supports over 150 million appointments per year. Our founders created Booksy to give entrepreneurs back their most valuable resource–time. Our team carries that purpose forward as we empower beauty professionals around the world. The values that guide us: 1. People First 2. Act Like an Owner 3. Work as a Team 4. Shoot for the Moon More about Booksy: * https://booksy.com/biz/en-us/blog/booksy-earns-five-of-the-startup-weekly-s-2022-awards * https://www.nailpro.com/business/news/22366558/booksy-booksy-awarded-fastest-growing-software-in-spa-salon-management * https://techcrunch.com/2021/01/27/booksy-raises-70m-war-chest-to-acquire-salon-appointment-apps-expand-internationally/

Company details

Company typeScaleup
IndustryInformation Technology & Services
Company size51 - 200

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Job description

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.

Requirements

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

Benefits

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.

How AI helps us find great people

Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role – but don’t worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application – it won’t affect your chances in any way. If you have questions, just drop us a note – we’re happy to explain more.

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.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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