Staff Data Scientist

Booksy; España; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading beauty marketplace is seeking a Staff Data Scientist to shape their data strategy and drive growth insights. This role involves optimizing activation funnels, personalizing user experiences, and mentoring junior data professionals. The ideal candidate should have proven Data Scientist experience in a high-growth environment and deep expertise in SQL and Python. Flexible work options are offered, promoting a welcoming team culture.

Servicios

Flexible working hours

Opportunity to work remotely

Welcoming team environment

International development opportunities

Formación

• Proven track record as a Data Scientist in a high-growth tech environment.
• Deep expertise in SQL and Python (Pandas, NumPy, TensorFlow).
• Strong experience with A/B testing and causal inference.
• Ability to deploy machine learning models at scale.

Responsabilidades

• Shape data strategy and deliver insights to influence growth.
• Work on optimizing activation funnels and personalizing user experiences.
• Guide best practices and mentor other data professionals.

Conocimientos

Data Scientist experience

SQL

Python (Pandas, NumPy, TensorFlow)

Statistical analysis

Machine learning models

Communication skills

Herramientas

Google Vertex AI

Looker

Descripción del empleo

Overview

Staff 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 their customers arrange 'me time' moments, we’re in the business of helping people thrive and feel fantastic.

Working in an ever-changing, scale-up where things are messy and resources are limited isn't for everyone. If you thrive in a stable environment with big budgets, clear processes and structures then, if being honest, we’re probably not for you. However, if you love bringing order to chaos, inventively solving problems, and prioritizing your own path within ambiguity, then you're likely to love it here.

The people you’ll like to work with and the things you'll enjoy impacting :

As a Staff Data Scientist reporting to the VP, Data & Strategic Analytics in our Data & Analytics team, your purpose will be to shape Booksy’s data strategy and deliver insights that directly influence growth. You’ll work on some of our most critical challenges — from optimising activation funnels and personalising user experiences to building predictive models that power our marketplace. As a senior member of the team, you’ll also play a key role in guiding best practices, influencing product direction, and mentoring other data professionals.

Requirements

Essentially, to ensure you succeed in this role you’re going to need :

• Proven track record as a Data Scientist in a high-growth tech, SaaS, or marketplace business. Ideally in Lead / Staff positions.
• Deep expertise in SQL and Python (Pandas, NumPy, TensorFlow).
• Strong experience with experimentation (A / B testing), statistical analysis, and causal inference.
• Demonstrated ability to build and deploy machine learning models at scale, ideally with Google Vertex AI.
• Excellent communication and stakeholder skills, with a product-oriented mindset.

At a minimum we require conversational level English language skills. Why? English is our company language and is used for any business-wide communications, so we need you to be able to speak English to feel like an integrated part of Booksy.

It will also help you to have :

• Experience working in a two-sided marketplace.
• Hands-on expertise with Looker development and advanced marketing analytics (MMM, MTA).
• An interest in the beauty and wellness industry.

Benefits

What we offer :

• The opportunity to be part of something big - the world’s fastest growing beauty marketplace.
• Flexible working hours and opportunity to work remotely within your country.
• Work in a welcoming team which is always ready to help.
• Opportunity to develop in an international environment - we have teams in 6 countries.
• Additional benefits that might differ depending on the location.