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Data Science Strategy & Transformation

1.000 € Recompensa


1 vacante

3 años de experiencia
Indefinido · Jornada completa
Salario no disponible

Who we are?

We are an innovative mobility and multicultural company always looking ahead. We offer our clients a broad portfolio of products and services, allowing them to choose how they want to move according to their needs.

Our extensive experience and ability to constantly observe the evolution of mobility enable us to adapt to the ever-changing technologies, trends, and users’ needs. All thanks to a diverse and talented team of more than 25 nationalities, with different backgrounds such as engineers, marketing experts, or IT specialists always ready to find the best solutions.

Together, we build up a global company with presence in 17 countries in Europe, Latam, and Southeast Asia, and make it possible to achieve a turnover of € 4Billion (2021).

You can learn more about us here

Who you are?

Superstar? Pass. Friendly and thoughtful? Let’s talk.

We are looking for Managers of One: people that come up with their own goals and work on them. They don’t need constant check-ins. They do what a manager would do — set the tone, assign items, know what needs to get done, etc.

If you consider yourself a learner, a thoughtful, kind, supportive person, you might fit in here.

We do think -as a lot of other tech companies- that diversity is essential for making great software, and that it has a more profound value beyond money. That’s the reason why we are working on building the most diverse we can (gender, age, race, people with functional diversity, etc.), people with different backgrounds, experiences, and capabilities.

We believe that better products are built when the team is genuinely inclusive. The more diverse we are as a team, the more impact we have as a company.

Purpose of the role:

As a Data Scientist you will develop AI / ML models to serve a variety of areas within the business, Product, Marketing, Billing teams, among others. The ideal candidate combines strong business acumen, extensive experience in machine learning and advanced analytics modelling applications along with a passion for tech and mobility.

Key responsibilities:
  • Support in concept design and development of innovative sampling approaches.
  • Ongoing development and improvement of Customer Intelligence methodologies (e.g., propensity models, Churn prediction…), ML based imputation approaches and various projection methodologies specifically for large data sets.
  • Support in development and automation of machine learning solutions and technologies and high scale deployment for mobility
  • Support in development and deployment of new offerings.
  • Selection and application of machine learning techniques, in connection with mobility Data to identify complex patterns.
  • Working with technology teams to support machine-learning algorithms in big data platforms.
  • Our ideal candidate will have:
  • Master degree in Mathematics/Statistics, Economics/Econometrics, Computer Science or related field.
Key Experience, Skills and Knowledge:
  • At least 3 years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.
  • Good knowledge and understanding of Machine Learning methods.
  • Experience applying Machine Learning methods to business questions.
  • Good knowledge of the higher statistical and econometric methods in theory and practice.
  • Experience with handling Big Data.
  • Skilled in Python/R and SQL.
  • Fluent in English.
  • Strong analytic mindset and logical thinking capability, strong QC mindset.
  • Demonstrates consulting, creativity, critical thinking, project planning, and attention to detail capabilities.
  • Knowledge of mobility market  would be a plus.
Here’s what we offer
  • Salary based on your skills and experience (TBD).
  • Full-time job.
  • Remote-friendly.
  • Free English lessons and flexible benefits.

Apply today!

Even if you´re not able to match all the requirements, we would still love to hear from you.

If you want to know more, take a look at our head office is divided into different areas that offer each visitor a unique experience. Its open, flexible layout meets everyone’s needs, whether you want to come together to collaborate or find a spot to concentrate.

Qué ofrece
Horario flexible
Horario de entrada y salida flexibles, libertad para gestionar asuntos personales o familiares.
Remote friendly
Libertad para trabajar algunos días de la semana desde casa.
Cursos y certificaciones
La empresa financia cursos de formación relacionados con las funciones del puesto.
¿Conoces un Enginer Manager?
Si así es, puedes recomendarlo en esta oferta y si es contratado, te llevas nuestra recompensa.1.000€ de recompensa si encuentras al candidato ideal!
o comparte
Siguientes pasos
Revisión de tu perfil
Nuestro equipo de expertos evaluará tu perfil para ver si se ajusta con la oferta. Te informaremos tanto si es así como si no.
Entrevista telefónica
Si tu perfil encaja con lo que estamos buscando, te llamaremos para completar y validar tu perfil.
Entrevista con cliente
Una vez evaluado por nuestro equipo, lo compartiremos con nuestro cliente para que realice las pruebas y/o entrevistas oportunas.
Oferta y contratación
¡Enhorabuena! Has sido el candidato seleccionado. Nos pondremos en contacto contigo para darte la buena noticia.