Ofertas de empleo para machine-learning

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo MongoDB Python Linux Angular Kubernetes R Machine Learning

¿Te interesaría seguir desarrollándote como Desarrollador/a Fullstack en una empresa dedicada al desarrollo de tecnología centrada en IA especializada en el sector sanitario?

Desde Oxigent Technologies seleccionamos un/a FULLSTACK DEVELOPER para participar en un proyecto de data ubicado en País Vasco.

¿Cuáles serán tus funciones principales?

Desarrollo desde cero y mantenimiento de dos grandes proyectos con años de desarrollo

Migración de tecnologías a Angular y Nodejs

Desarrollo de maquetación servicios web y estructura de base de datos

Analizar sets de millones de datos y proponer áreas de exploración aprendizaje y explotación de los resultados del mismo

Para ello ¿qué vas a necesitar?

Experiencia de al menos 3 años con Angular (últimas versiones) Nodejs y Express

Experiencia alta en test unitarios y end to end

Experiencia en Linux

Conocimiento de principios SOLID patrones y buenas prácticas

Nivel de inglés intermedio (oral - B2)

Conocimientos valorables en Dockers Kubernetes MongoDB R Python

Conocimientos valorables en herramientas de visualización de datos y frameworks de machine learning.

¿Qué te ofrecemos?

Contratación indefinida a través de Oxigent.

Salario acorde a la experiencia aportada (entre 35.000 - 40.000 euros brutos anuales).

Horario flexible y jornada intensiva los viernes y los meses de verano.

Modelo Remoto 100

Cheque Formación para desarrollarte en las áreas profesionales que más te interesen.

Seguro médico privado.

Retribución flexible aplicable a seguro médico restaurante transporte guardería y formación.

Aplicación de acceso a gimnasios y actividades deportivas en toda España con descuentos.

¡Y muchos otros beneficios!

angular, nodejs, express,

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada18 may.

Python R Big Data Machine Learning Tableau

Summary

The Barcelona Digital Finance hub is a start-up within Novartis, which crafts finance business partnering solutions demonstrating innovation and talent. Artificial intelligence and predictive analytics are reshaping the function and this new team will be a differentiator, encouraging new ideas. To add even greater value for the business we need to have the right people with the right capacities in the right location. We need ground-breaking innovation, customer-orientation and focus on bringing the best services and solutions to the business – both globally and locally – to support Finance. We are looking for early talent with experience in consulting or business partnering who are eager to make a difference. The hub offers a real opportunity to develop in a highly fast-paced, multicultural, technology-driven environment where collaboration and innovation are at the heart of who we are and what we do.

About The Role

Your responsibilities include, but not limited to:

• Translate business questions into analytical problems and build solutions using visualization techniques, machine and deep learning, and statistical modeling
• Search and develop new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
• Quickly learn and pilots the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions and to improve status quo
• Identify research articles and reproduce/apply innovative methodology to Novartis business problems
• Provide understandable and meaningful business intelligence for key partners
• Bring understanding of one or more areas of data sciences and is able to demonstrate practical knowledge of techniques
• Help developing new quantitative methods with the aim of improving processes in various projects and developing new analysis opportunities by integrating existing and new data sources
• Support various projects, of limited scope.
  
  

Role Requirements

• Degree in Mathematics, Statistics, Computer Science, Physics or in a quantitative field
• Academic experience in a multidisciplinary data & analytics environment or in research
• Experience in predictive modelling and large data analysis
• Experience in statistical/analytics tools such as R, SAS, Python or big data technologies for machine learning
• Expertise in at least a visualization tools QlikView, Spotfire, Tableau for crafting insights.
• A track record of innovating through machine learning, data bases and statistical algorithms and their applications. Hands on experience with data mining, its concepts, techniques and implementation.
• Fluent English (written and verbal)
  
  

Desirable Requirements

• Business proficient in Spanish (written and spoken)
  
  

Why consider Novartis?

799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?

We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.

Imagine what you could do at Novartis!

Commitment To Diversity & Inclusion

Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here:

https://talentnetwork.novartis.com/network

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada18 may.

Machine Learning

¿Quieres unirte a una empresa líder en el sector de las Telecomunicaciones? Una de lasempresas tecnológicas TOP TEN para trabajar en España y a un equipo que no deja dereinventarse cada día para ser líder en su sector. Buscamos a gente con ganas de desarrollarse y aprender en el mundo de Data Scientist.

Lugar: Madrid

Sector: Telecomunicaciones

Personal a cargo: 0

Funciones

• Digitalización de las áreas de compras y supply chain,
• Generación de modelos analíticos
• Generación de casos de procesos de negocios de compras y supply chain
• Eficientar procesos
• Facilitación de la gestión del cambio
  
  

Requisitos

• Formación técnica (ingeniería informática, Telecomunicaciones, Industrial o ramasde ciencias como Matemáticas, o Física) acabada o por terminar donde se tenganconocimientos específicos de Data Science, Machine Learning / IA.
• Habilidades digitales y amplio manejo de tecnologías
• Habilidad para el trabajo en equipo, preocupación por la calidad, orientación al logro con destreza tecnológica, inspirado hacia la transformación digital y con sentido de la innovación
• Nivel medio de inglés
  
  

Condiciones

• 25 horas semanales
• Ayuda al estudio de 850€ brutos mensuales respectivamente
• Duración: 6 meses con posibilidad de renovar otros 6 meses
• Presencialidad: Híbrido
• Ubicación: Madrid
• Plan formativo durante la beca
  
  

Pero, sobre todo, te estamos buscando si te mueve la inquietud, el entusiasmo y la pasión por lo que haces.Si quieres seguir desarrollándote con nosotros y dar un paso más en tu carrera ¡Te esperamos!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada18 may.

Teletrabajo Python Machine Learning

Company Description

FNA is a leader in advanced network analytics and simulation. Our software is trusted by the world's largest central banks, government authorities, commercial banks, and financial infrastructures. We specialize in uncovering hidden connections and anomalies in large, complex datasets, predicting the impact of stress events, and optimizing financial systems and infrastructures.

Role Description

This is a full-time hybrid role for a Data Scientist at FNA. As a Data Scientist, your main responsibilities will include data analysis, data visualization, and applying statistical methods to large datasets. You will collaborate with interdisciplinary teams to develop and implement analytical models and algorithms. This role is primarily located in Barcelona, with flexibility for some remote work.

Qualifications

• Data Science, Statistics, and Data Analytics skills
• Data Visualization and Data Analysis skills
• Experience with machine learning algorithms and predictive modeling
• Proficiency in programming languages such as Python
• Strong problem-solving and critical-thinking abilities
• Excellent communication and collaboration skills
• Master's in a related field (e.g., Data Science, Computer Science, Statistics)
• Experience in the financial industry or consultancy is a plus

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada17 may.

Teletrabajo Python Cloud Coumputing Machine Learning

¿Quién somos?

Somos una empresa Top Employer, con un equipo de más de 16.000 personas que operamos en diversos países y compartimos un propósito común: construir una movilidad sostenible, multimodal y conectada.

LLevamos más de 100 años movilizando personas, implantando los más altos niveles de seguridad y excelencia en lo que hacemos. Respetamos el medio ambiente y cuidamos de las personas que forman parte de nuestra empresa.

Nos mueve la innovación, la diversidad, la sostenibilidad y la búsqueda de nuevas formas de hacer las cosas.

¿Qué buscamos?

Te queremos en nuestro equipo si te apetece contribuir a un proyecto transformador, tienes orientación al negocio y experiencia real con series temporales.

Te queremos en nuestro equipo si quieres unirte a un proyecto puntero y en crecimiento, eres una persona proactiva y colaboradora, con ganas de aprender y aportar.

• Grado en Matemáticas, Física, Ingeniería Técnicas, Estadística, etc.
• Experiencia previa en un puesto similar de más de 3 años.
• Nivel de inglés medio (B2).
• Programación en Python.
• Experiencia en el despliegue de soluciones de ML en producción.
• Capacidad para trabajar en un entorno dinámico y asumir responsabilidades.
• Valoremos positivamente experiencia en entornos Cloud.

¿En qué consistirá tu trabajo?

Como Data Scientist tu misión será dotar al departamento de las capacidades para realizar tareas vinculadas a proyectos de Data en el ámbito de la movilidad.

El alcance del rol:

• Depuración y limpieza de los datos para descartar información irrelevante.
• Participar en el diseño de procesos de preparación de datos, para su uso en modelos prescriptivos y predictivos.
• Manejo de softwares de análisis, machine learning y modelos predictivos
• Preparar la visualización de los datos a través de gráficos y de textos con los que se consigue una fácil comprensión por parte de los business stakeholders.
• Diseñar nuevos test alternativos cada vez que sea necesario, sobre todo cuando los resultados obtenidos no han sido los que se buscaban o no se ha conseguido extraer información relevante.

¿Qué te ofrecemos?

Un proyecto transformador en una compañía con clara vocación de servicio a las personas. Un paquete retributivo interesante y una experiencia muy enriquecedora dado el alcance global de la posición.

De cara a la mejora continua, contamos con programas de formación y desarrollo en pro de la mejora de tus competencias. Además, favorecemos el desarrollo a través de nuestra política de movilidad interna.

El formato de trabajo es híbrido, tres días de teletrabajo y dos presenciales, con flexibilidad horaria y jornada intensiva todos los viernes del año y durante los meses de julio y agosto.

Como emplead@, podrás beneficiarte de la tarjeta Alsa Plus emplead@ que te permitirá disfrutar a ti y tu familia directa de grandes ventajas en viajes en autobús e importantes descuentos en múltiples establecimientos.

También, del Programa “Alsalud” para hábitos de vida saludable, y acceso a una amplia red de gimnasios a través de Gympass (y formación específica de seguridad según la posición).

Más que un bus. ¿Te subes?

#hastadondetuquierasllegar

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada17 may.

Python Machine Learning

Job Description

In the Teknei team we continue to grow and add value for our customers in the data environment.

With an ambitious growth plan we expanded our team and selected experts in Data Analytics that through the application of Artificial Intelligence techniques on business data can have an impact on improvements.

Requirements

Functions:

• Development of Machine Learning models, from data collection to production deployment and monitoring.
  
  

Required Knowledge

• Machine Learning
• Python
  
  

What do we offer you?

We offer you many possibilities for professional development in the company. Possibilities of promotion, flexible remuneration, possibility of teleworking, continuous working hours on Fridays and during the summer and a very good working environment.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada16 may.

Teletrabajo Agile Excel Machine Learning Office

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace's convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

Backed by top investors such as Accel, Insight Partners & Naver Corp we bring our total valuation to 806 million EUR and are embarking on our international journey with the aim to become the world's best unique goods trading platform.

The Challenge 🧩

Seller is central to the user journey and to our mission of making second hand the norm.

Empowering 100M+ monthly listings across markets is no small task and this is the opportunity for an enthusiastic Product Director to expand our user base and enhance the experience of our 19M+ users by prioritising ease, intuitive and innovative experiences to leverage the largest catalogue of second-hand items in the south of Europe, and the convenience and safety of our platform. Seller lives to maximise economic opportunity for individuals, micro-businesses and professional users and needs a passionate Product leader to reach its full potential.

What You Will Do 👇

• Spearhead the identification and pursuit of product opportunities enhancing the seller experience to drive company growth and market differentiation.
• Recruit, nurture, and empower a dynamic team of product professionals across various disciplines, fostering a culture of innovation, collaboration, and continuous improvement.
• Define outcome-driven product goals and visionary roadmaps, leveraging experimentation and rapid iteration to validate, prototype, and refine new concepts, ensuring alignment with overarching business objectives.
• Drive cross-functional execution and collaboration, orchestrating seamless partnerships across functions to swiftly add value to our users and iterate towards optimal market fit.
• Lead the charge in prioritizing customer-centricity, fostering a deep understanding of user needs and behaviors within your teams, and translating these insights into actionable strategies that elevate user experience, foster product adoption, and cultivate community loyalty.
• Advocate for the seller and generate alignment across stakeholders, effectively communicating the product vision, roadmap, and value proposition to inspire confidence and support for the initiatives you'll be leading.
  
  

What We're Looking For 🔎

• Extensive experience leading high-performing product teams in an agile set up, driving strategic development and growth.
• Demonstrated success in crafting product strategies for large-scale platforms in complex, cross-functional environments.
• Proficient in leveraging advanced technologies like generative AI and machine learning to foster innovation and drive business impact.
• Strong mentoring and coaching abilities to nurture talent and enable teams to excel and grow.
• Exceptional analytical and problem-solving skills to drive value-driven outcomes through both quantitative and qualitative insights, while leading strategic initiatives and influencing organizational direction.
  
  

Do note that all our jobs are 📍 Barcelona based. We work in a mostly remote capacity offering great flexibility to our employees, but we believe in the power of getting together regularly in our office. As a first iteration, we expect a 4+ day/month office attendance for which the specifics are decided on a team level.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Competitive phantom shares package for all employees
• Generous individual learning budget of 2k per year
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Cigna
• Flexible working hours + short Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Workiversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)
  
  

What does the hiring process for this position look like? 👀**Please, note that all interviews take place remotely over hangouts.**

Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.

Leadership Interview - run by the hiring manager, focus on leadership and/or management skills aligned with the role requirements. This usually takes 45-60 minutes.

Case Study Submission - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise / technical skills required for the role.

Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.

Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.

Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.

Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada16 may.

Teletrabajo Python Cloud Coumputing Git Machine Learning

Únete a Hocelot empresa de Grupo Aserta, compañía sólida con un gran potencial de crecimiento y potencia tu talento con nosotros.

Sobre la empresa:

Grupo Aserta es líder en seguros de caución y fianzas

Más de 300.000 clientes en 14 países confían en nuestras soluciones de caución para cumplir de forma más fácil, rápida y segura con sus obligaciones legales y contractuales.

Responsabilidades y Funciones:

• Entregar modelos predictivos y segmentaciones de clientes centrado en el cliente y orientado a resultados.
• Realizar proyectos de ciencia de datos desde la etapa de concepción hasta la entrega, el testeo y su optimización.
• Colaborar en el desarrollo de procesos estandarizados y automáticos para dar respuesta a problemas de negocio mediante soluciones de analítica avanzada.
• Colaborar en el desarrollo de sistemas de monitorización para los modelos de Machine Learning elaborados.
• Comprender el know how empresarial profundamente para proporcionar modelos que se ajusten al contexto adecuado.
• Usar técnicas de minería de datos, análisis y juicio comercial para identificar y resolver problemas comerciales
• Extraer y analizar conjuntos de datos muy grandes y multidimensionales.
• Apoyo en la formación de nuevos Data Scientist o integrantes del equipo.
• Trabajar en estrecha colaboración con equipos altamente tecnológicos, generar insights y mejorar nuestros productos.

Formación y Competencias

• Experiencia de más de 2 años como Data Scientist y/o área de Analítica Avanzada.
• Estudios de la rama STEM (Science, Technology, Engineering, and Math)
• Experiencia relevante adquirida en minería de datos / análisis avanzado, agrupación, regresión, modelos predictivos y sus principales aplicaciones.
• Experiencia práctica con herramientas de programación: Python.
• Conocimientos en herramientas de gestión de versiones: git.
• Conocimientos en herramientas de visualización y métricas técnicas de los modelos de Machine Learning para su monitorización.
• Capacidad para entregar trabajos de calidad bajo la presión de plazos.
• Capacidad para comunicarse con la alta gerencia, explicando modelos y segmentaciones en lenguaje no técnico.
• Capacidad para comprender la integración de aplicaciones usando Machine Learning usando plataformas en la Nube (Google Cloud).
• Inglés fluido.

Oferta económica

• Banda salarial de 36,000 a 39,000 euros
• Variable 2 meses de sueldo anual
• Beneficios

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada16 may.

Teletrabajo Python Agile TSQL Azure Cloud Coumputing AWS Spark Big Data Machine Learning Tableau Office

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

Backed by top investors such as Accel, Insight Partners & Naver Corp we bring our total valuation to 690 million EUR and are embarking on our international journey with the aim to become the world’s best unique goods trading platform.

The Challenge 🧩

The Wallapop platform generates tons of data and, with a mature data infrastructure already in place, the area of Data Science and Machine Learning is gaining momentum. The team is experiencing significant growth and, with many initiatives down the road, the opportunities are endless.

As a Data Scientist in the Wallapop Managed Marketplace Tribe, you will be working on the Data Science and Machine Learning initiatives aimed at improving the whole marketplace dynamics. This will include topics such as optimizing our Shipping and Logistics operations, fighting against fraud and contributing to the Trust & Safety of our platform, and improving the Customer Service user experience.

You will work closely with other Data Scientists, Product Managers, Engineers, UX Researchers, and Analysts to understand the product requirements and explore possible data and ML solutions. You will own the whole product lifecycle, from gathering the data needed to prototyping, building, evaluating, and iterating end-to-end solutions, all within Wallapop’s Data and ML Platforms.

Additionally, you will have the opportunity to work on internal research projects, exploring new technologies and building PoCs that could ultimately become data products or insights, and be valuable for Wallapop.

You will be part of a growing Machine Learning team (7) within the Data & Analytics department (30+).

What You Will Do 👇

• Take responsibility for the Data Science and ML initiatives within the Managed Marketplace Tribe
• Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
• Work with Data Scientists, ML Engineers and Software Engineers to explore and build the best performance and scalable solutions.
• Take ownership of the complete Data Science and Machine Learning workflow: ideation, data processing (ETL), modeling, testing, deployment, monitoring and iteration.
• Proactively suggest, research and prototype new ideas for data and ML solutions.

What We’re Looking For 🔎

• Bachelor or MsC degree in engineering, mathematics, statistics, physics, or another quantitative field.
• Good understanding of ML concepts and techniques, and the whole ML development lifecycle.
• Experience building complex data products and ML solutions to real-life problems in a production-oriented environment, identifying the right techniques to solve the problem at hand.
• Strong coding skills (Python is a must, but other languages are also valued), capable of building robust data and ML software.
• Experience with common libraries and frameworks such as Pandas, Numpy, Scikit-learn, TensorFlow, Keras, PyTorch.
• Advanced in SQL, capable of getting the data required from the appropriate sources, and building and maintaining data pipelines if needed (experience in tools such as Airflow or DBT would be a plus).
• Analytical and rigorous mindset, but also innovative and proactive, with autonomy and a team-player attitude.

What Would Be A Plus 🚀

• Experience working within the Logistics, Trust & Safety or Customer Service domains.
• Experience working within an eCommerce or Marketplace platform, or in a product-tech company.
• Experience working within the AWS cloud (Redshift, S3, Lambda), and with cloud MLaaS solutions such as Amazon SageMaker (preferably), but also Google Vertex AI, Microsoft Azure ML, and other MLOps tools (MLFlow, Flyte, Feast, Kubeflow, etc).
• Familiarity with MLOps philosophy.
• Experience with GenAI tools (AWS Bedrock) and use cases (chatbot, RAG, etc).
• Experience working with Big Data technologies (Spark)
• Experience with data visualization tools (Looker, Amplitude, Tableau, or others)..
• Fluent in any of the main languages present in Wallapop: Spanish, Italian, Portuguese.

Do note that all our jobs are 📍 Barcelona based. We work in a mostly remote capacity offering great flexibility to our employees, but we believe in the power of getting together regularly in our office. As a first iteration, we expect a 4+ day/month office attendance for which the specifics are decided on a team level.

Wallapop is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Competitive phantom shares package for all employees
• Generous individual learning budget of 2k per year
• Group and individual English & Spanish lessons as part of our working day
• Private Health Insurance with Cigna
• Flexible working hours + short Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Workiversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.**

Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation and expectations. This usually takes 45-60 minutes.

Task - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise and technical skills required for the role.

Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.

Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.

Culture-Add Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.

Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.