Senior Data Scientist

Líbere Hospitality Group; Santiago de Compostela; A distancia; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

Líbere Hospitality Group is seeking a Senior Data Scientist to lead data initiatives in our innovative pricing engine. This role offers the opportunity to impact revenue through advanced machine learning applications while working in a fully remote-friendly culture. Join us to redefine the hospitality experience with cutting-edge technology skills and contribute to rapid growth in a dynamic environment.

Servicios

40% discount on all company operations

Remote-friendly culture

Autonomy in work environment

Formación

• Proven experience designing and deploying neural network models.
• Expert in Python and data science libraries.
• Hands-on experience with large datasets and machine learning.

Responsabilidades

• Design, train, deploy, and monitor models for pricing strategies.
• Expand features using competitor rates and city-level trends.
• Prototype reinforcement-learning agents for optimal pricing.

Conocimientos

Neural-network expertise

Fluent in data science tooling

Statistics

Ownership mentality

Cloud savvy

Educación

Proven track record in data science

Bachelor's or Master's degree in relevant field

Herramientas

Python

TensorFlow / PyTorch

SQL

Descripción del empleo

Join to apply for the Senior Data Scientist role at Líbere Hospitality Group

Join to apply for the Senior Data Scientist role at Líbere Hospitality Group

Founded in 2019 by the entrepreneurial team behind Ticketbis (acquired by eBay in 2016), Líbere is redefining stay experiences across Europe. By the end of 2025 we’ll operate 3,000+ tech-enabled units in six countries and generate over €35 million in revenue—a year-on-year growth rate of 90%.

Our vision is bold : become Europe’s largest alternative to traditional hotels. We do this by blending contemporary design with friction-free technology to deliver stays that feel effortless and memorable.

Tech is at our core. From smart-building infrastructure to fully data-driven guest journeys, we’re engineering highly scalable, resilient systems that power :

• End-to-end automation (check-in, access, payments, support)
• Real-time operational insights for optimal pricing, occupancy and maintenance
• Personalised guest experiences informed by rich behavioural data

The role

Join the team that powers 110 k+ price updates every day across 20+ properties in five countries. You’ll be the data lead for the brains behind our dynamic pricing engine—and the first person we turn to when we push the boundaries of what data science can do in hospitality.

Why this role matters

• Immediate, visible impact . Every reservation, cancellation or review ripples through your models within seconds, shifting prices for thousands of guests.
• Full product ownership. From exploration to production, you’ll design, train, deploy and monitor models that directly drive topline revenue.
• Green-field innovation. We’re exploring reinforcement learning, real-time inference and elasticity modelling right now. You’ll shape those roadmaps and ship the first iterations.

What you´ll work on

Revenue Management Platform :

• Maintain and evolve a neural-network-based demand-curve predictor retrained daily on millions of data points.
• Expand our feature universe with competitor rates, city-level trends and event signals delivered via our in-house tagging pipeline.
• Orchestrate training and batch inference on GKE + Argo Workflows; version everything with DVC.
• Design pricing simulations that trigger live updates after every booking event—over 110 k recalculations per day.
• Build NLP models to classify reviews and surface the issues that most affect OTA scores.
• Feed these insights back into product, ops and customer-experience teams to close the loop.

New frontiers :

• Prototype reinforcement-learning agents that learn optimal rate strategies under real-time demand uncertainty.
• Push price-elasticity models into production to fine-tune margin vs. occupancy trade-offs.
• Benchmark model performance and run A / B tests at property, city and portfolio scale.

What we´re looking for

We’re after a senior, business-minded generalist—someone who grabs the right tool for the job, keeps solutions elegant, and obsesses over measurable impact.

Must-haves

• Ownership mentality. You set clear goals, hit your deadlines, and stand by the results.
• Thrives on autonomy. Ambiguous problem? You frame it, size it, and deliver an insight-driven answer.
• Neural-network expertise. Proven track record of designing, training, and deploying neural-network models.
• Fluent in data science tooling. Expert in Python (pandas, scikit-learn, TensorFlow / PyTorch) plus rock-solid SQL.
• Statistics first. You translate messy business questions into sound hypotheses and pick the simplest statistical or ML technique that works.
• Production mindset. Hands-on experience shipping and monitoring machine-learning models on large datasets.
• Cloud savvy. Comfortable building and running workloads in a major cloud (GCP, AWS, or Azure).
• Knowledge sharer. You’re curious, you learn fast, and you level up the people around you.

Nice-to-haves

• Data-engineering chops (Airflow / Argo workflows, DBT, DVC, Terraform… we’re small, everybody sometimes wears the “data plumber” hat).
• Exposure to hospitality, travel, or revenue-management domains.

If you’re pragmatic, product-obsessed, and excited to scale the smartest pricing engine in hospitality, we can’t wait to meet you!

Our identity

Truly remote-friendly and async culture (some of us have experience working on remote-first companies).

We believe in horizontal structures where transparency and speak-up are not just buzz words, they are our core values.

Ownership : we base our relationship on trust, we give our teams autonomy and a purpose to deliver value to the business. We are all part of the product team!

We are realistic : we find challenges, face them, solve them being creative, and of course, we learn from our mistakes.

We are really starting up now so your impact will be huge.

Rules are a good start, then break them.

DevOps culture : the faster we get feedback, the better.

Salary range & perks

40% discount (companions included) on any hotel, apartment or hostel operated by Líbere.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

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