Data Scientist

Exoticca
Barcelona
A distancia
EUR 35.000 - 65.000
Descripción del empleo
What Is Exoticca

Exoticca was founded in 2013 by a team of travel visionaries with deep knowledge in the creation and online distribution of multi-day tour packages. Our mission is to offer our clients the possibility to visit the most beautiful and stimulating places on our planet, through the best holiday packages, at unbelievable prices. Our customers can find out more about our trips and book them instantly in a matter of minutes through our website, avoiding the usual long exchanges of email, meetings, or calls required by more traditional travel agencies, which makes us the most convenient way of booking a multi-day tour package.

At Exoticca we are looking for people who want to offer their best to create unforgettable experiences for our customers. We are a young, dynamic, multicultural team of around +350 people, in rapid international growth, seeking for new partners to help us create the best and most forward-thinking travel company of our generation.

We are a highly ambitious and well-balanced start-up, backed by top national and international investors that have also participated in the growth of other success stories, such as Skype, Wallapop, Glovo, Wix, Idealista, among others.

What about the Data Team?

At Exoticca, the Data team plays a crucial role as the main driver of data as a strategic asset, ensuring that it is fundamental in key decision-making across the organization. We capture vast amounts of data from multiple customer touchpoints, spanning from consideration and booking to pre-travel, travel, and post-travel. Combined with our customer-centric and AI-driven approach, we believe that our data-driven culture is key to delivering unparalleled personalized products & services that wow our customers and create unforgettable experiences.

To achieve such ambitious goals, our Data team collaborates not only with IT squads but also with Marketing, Product, Travel, Sales, and Customer Success teams to uncover the most valuable insights our data can deliver and transform them into impactful business initiatives, software decisions, and customer-centric product features. There are numerous opportunities for using data science, AI, and automation to grow sales, enhance personalization, improve customer satisfaction, optimize processes, and more. If you are passionate about data, AI, and digital products, we can't wait to have you on board!

What will be your main responsibilities?

  • Research, design, and develop machine learning models to enhance business processes, personalization, and customer insights
  • Work on data preprocessing, feature engineering, and model evaluation to ensure high-quality data for decision-making
  • Deploy, monitor, and optimize machine learning models in production
  • Lead the adoption of Generative AI tools, integrating them into our products and internal processes
  • Collaborate with cross-functional teams to identify and implement AI-driven innovation
  • Define and update key metrics to assess the impact of ML solutions on business performance and forecast future trends
  • Design and implement interactive dashboards and reports to visualize ML-driven insights and track model performance across the customer journey
  • Conduct statistical analysis, A/B and multivariate testing to support experimentation and business decisions
  • Communicate complex data insights effectively to technical and non-technical stakeholders, including top management
Requirements

  • Experience with Big Data technologies (Redshift, Big Query, Spark, Databricks, dbt)
  • Strong experience in Python and its data science ecosystem (Pandas, NumPy, SciPy, Scikit-learn, TensorFlow/PyTorch)
  • Experience building and deploying machine learning models, from prototyping to production
  • Proficiency in SQL, Git
  • Hands-on experience on cloud-based ETL and ML solutions
  • Experience with statistical modeling, hypothesis testing, and experimental design (A/B testing)
  • Strong analytical mindset with problem-solving skills and attention to detail
  • Fluency in English (spoken and written)
Skills:

  • Collaborative, committed, and team-oriented work ethic
  • Authentic, fun, curious, and highly eager to learn and improve constantly at a personal and professional level
Desirable:

  • Experience with Big Data technologies (Redshift, Big Query, Spark, Databricks, dbt)
  • Hands-on experience working with BI and visualization tools like Looker, Tableau
  • Experience in MLOps, including model monitoring, retraining, and automation
  • Knowledge of event-driven architectures, NoSQL solutions, and streaming technologies (Kafka, Snowplow)
  • Past experience in airline pricing, OTAs, or e-commerce data analysis
  • Experience working in Agile squads using Kanban or Scrum frameworks.
Benefits

  • Competitive compensation package in line with job responsibilities and experience
  • Additionally, we propose the use of flexible compensation management for diet, transportation, private health insurance with Cobee
  • Individual training budget
  • 100% remote work model within Spain
  • Permanent contract from the start
  • Travel packages at reduced prices!
  • Referral bonus, if you bring people as talented as you
  • Unlimited coffee, team lunches, English lessons, quarterly activities, biannual parties
  • And last but not least, becoming part of a fun and motivated multicultural team at an agile and rapid growing organization!
Exoticca is an equal opportunity employer. Diversity and inclusiveness are our core. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under European, country, or local law.
Obtenga la revisión gratuita y confidencial de su currículum.
Selecciona un archivo o arrástralo y suéltalo
Avatar
Asesoramiento online gratuito
¡Mejora tus posibilidades de entrevistarte para ese puesto!
Adelántate y explora vacantes nuevas de Data Scientist en