Senior Data Scientist

🕒 May 6

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Booksy

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

💄 Beauty

🧘 Wellness

☁️ SaaS

💰 $70M Series C on 2021-01

Beauty • Wellness • SaaS

Booksy is a digital platform that connects customers with beauty and wellness service providers, such as hair salons, barbershops, nail salons, skincare specialists, and massage therapists. It offers users the convenience of booking appointments online with various service providers in cities around the world, enhancing the way beauty and wellness businesses operate by providing them with tools to manage appointments, client relationships, and marketing. Booksy aims to simplify the process of finding and scheduling beauty and wellness treatments, making it easier for customers to discover and engage with local professionals.

📋 Description

• Build and own machine learning powered features that directly improve our customer app and marketplace experience. • Work on customer-facing problems such as search and ranking, recommendations, segmentation, lifecycle modeling including activation, churn, and reactivation, lead scoring, and personalization. • Operate end to end, from shaping ambiguous product ideas into clearly defined problems, through modeling and experimentation, to deploying and monitoring production systems. • Contribute 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. • 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.

🎯 Requirements

• 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 • 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

• 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. **