Ofertes d'ocupació de Científic/a de Dades a Barcelona

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada15 de set.

TSQL Machine Learning Word

You will join us as our new Senior Data Scientists within our games team. You will be a business facing mastermind who help turn business questions into actionable insights. You will research and analyze player behaviour, and come up with recommendations. You´ll do this by listening to team members, understanding context and challenging business ideas. By using diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and optimally.

*What will your role involve? *

* Discuss with team members requirements for analysis

* Run exploratory data analysis and turn it into questions which can be answered with analytical techniques

* Use analytics, statistical or causal inference, machine learning or any other techniques to answer questions and tackle problems

* Develop proof-of-concept machine learning models that can be tested and passed to MLOps team for production

* Develop simulators of player behaviour with the goal to improve design of features within the games 

* Proactively identify areas of improvement, run analysis, simulations or modelling to shape recommendations

*What we´re looking for*

* A degree or equivalent work experience in data driven field 

* Experience of using visualization techniques for presenting data and analysis

* Experience of using any of the following to answer business or scientific questions - statistics, mathematics, econometrics, causal techniques, monte carlo modelling, etc.

* Experience of building machine learning models is nice to have

* Experience of using at least one programming language (R/Python/etc.)

* Knowledge or experience of using SQL

*Why **Product Madness**?*
As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.
We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.
So, what’s stopping you?
*Travel Expectations*
None*Additional Information*
At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de set.

TSQL Big Data Machine Learning

Te incorporarás como nuestro nuevo/a científico/a de datos sénior dentro de un equipo de ciencia de datos altamente experimentado y talentoso. Tendrás autonomía para liderar proyectos y adquirirás experiencia trabajando con grandes y diversos conjuntos de datos. Este puesto forma parte de nuestro equipo de ciencia de datos centrado en productos y videojuegos.

*¿En qué consistirá tu puesto? *

* Traducir problemas de negocio ambiguos en componentes analíticos medibles.

* Implementar metodologías para generar, recopilar y medir datos útiles para el negocio.

* Utilizar entornos de big data para análisis y colaborar con ingenieros en la recopilación y depuración de datos del juego.

* Trabajar con datos no estructurados o semiestructurados para extraer métricas analíticas útiles.

* Realizar análisis estadísticos sobre datos experimentales o de negocio para validar y cuantificar tendencias o patrones.

* Definir buenas prácticas para el análisis y la visualización de datos.

* Colaborar con líderes clave del negocio para comprender los problemas y aplicar herramientas y procesos analíticos en su resolución.

* Escribir consultas avanzadas en SQL para análisis exploratorios.

* Traducir soluciones computacionales/modelos estadísticos en código implementable.

* Construir recomendaciones y planes estratégicos/tácticos basados en datos de negocio y conocimiento del mercado.

* Liderar o colaborar con un equipo de científicos de datos, analistas de inteligencia de negocio o ingenieros de big data en proyectos analíticos.

* Manejar tanto requerimientos empresariales rápidos como análisis profundos a largo plazo, encontrando el equilibrio adecuado entre ambos.

* Mentorizar a científicos/as de datos junior.

*Lo que estamos buscando*
 
* Poseer título universitario (Licenciatura, Maestría o Doctorado) en un campo técnico relevante, o experiencia equivalente en un rol similar.

* Resolver problemas analíticos mediante enfoques cuantitativos y cualitativos.

* Realizar pruebas A/B.

* Trabajar con grandes volúmenes de datos, trasladando el cómputo hacia la capa de datos.

* Utilizar aprendizaje automático (machine learning) y modelado.

* Aplicar técnicas de visualización para registrar y comunicar hallazgos.

*¿Por qué Product Madness?*
Como parte de la familia Aristocrat, compartimos su misión de llenar de alegría la vida gracias al poder del juego, con un equipo de primer nivel que crea títulos líderes y de mayor recaudación en el género de casino social, entre ellos Heart of Vegas, Lightning Link y Cashman Casino.

Con un equipo global de 800 personas, Product Madness tiene su sede en Londres, y oficinas en Barcelona, Gdańsk, Lviv, Montreal y un equipo remoto en Estados Unidos, lo que nos convierte en una auténtica potencia global.

Nos guiamos por nuestro principio de “Las personas primero”. Independientemente de dónde, cuándo o cómo trabajen, los miembros de nuestro equipo tienen oportunidades para avanzar en su carrera profesional y crecer con nosotros. Nos enorgullece fomentar una cultura inclusiva, en la que se anima a cada persona a dar lo mejor de sí misma cada día.

Pero no confíes solo en nuestra palabra.  En 2024, fuimos incluidos en la lista de los Global Inspiring Workplace Awards y recibimos un premio de bronce en los Stevies for Great Employers, en la categoría de “Empleador del año - Medios de comunicación y entretenimiento”.
*Disponibilidad para viajar*
Ninguna
*Información adicional*
En este momento, no podemos tramitar visados de trabajo para este puesto. Los candidatos deben tener permiso para trabajar a tiempo completo en el país donde se ofrece la vacante, sin necesidad de visado ahora ni en el futuro.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada11 de set.

MongoDB Python Azure Docker Cloud Coumputing Kubernetes Git AWS PostgreSQL Machine Learning

About Us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

About The Role

GreenPowerMonitor, a DNV company, is at the heart of global energy transformation. We use data-driven digital solutions to optimize the performance of renewable energy installations around the world. Our work contributes to a more diverse and sustainable global energy mix.

We are looking for a motivated and skilled Data Scientist to join our team and contribute to the support and development of data-driven solutions in the renewable energy sector. If you are passionate about data, fluent in Python, and experienced in statistics, time series analysis, and boosting techniques, we want to hear from you!

Key Responsibilities

• Analyze time series data and perform data quality control for wind, solar, and storage technologies.
• Apply statistical and machine learning techniques to uncover insights from complex datasets.
• Collaborate with cross-functional teams to integrate analytical outputs into operational workflows.
• Train and evaluate models with effective hyperparameter tuning and result validation to support business decisions.
• Use Kubernetes to manage and deploy machine learning workflows in containerized environments.
• Work with databases such as MongoDB, ClickHouse, and PostgreSQL, for data storage and processing.
  
  

This is a unique chance to apply your data science skills to real-world challenges in renewable energy. You'll work with advanced tools and technologies, contribute to impactful projects, and help accelerate the global shift toward a sustainable energy future.

What we offer

Our benefits package is specifically designed to support your physical, financial and social wellbeing:

• Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry.
• Guidance from colleagues through coaching, mentoring and participating in international networks.
• Numerous opportunities to advance your professional skills and technical expertise through individual competence development plans and tailored training.
• Multiple country specific lifestyle benefits, including health insurance, pension plan, flexible work schedule, trainings, etc.
• Be part of a world growing and renowned organization with origins dating back to 1864.
  
  

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

About You

To thrive and succeed, you have:

• Degree in Engineering, Mathematics, or Computer Science.
• Strong proficiency in Python, including libraries such as NumPy, Pandas and Scikit-learn.
• Solid foundation in applied statistics, including the series analysis, clustering, distribution analysis, and hypothesis testing.
• Practical experience with machine learning algorithms, especially clustering, regression and boosting methods (e.g. XGBoost, LightGBM, CatBoost).
• Experience in hyperparameter tuning and model performance optimization.
• Hands-on experience with time series modeling and analysis.
• Working knowledge of databases such as MongoDB, ClickHouse, or PostgreSQL.
• Proficient in Git for version control and collaborative development.
  
  

Will Be a Plus

• Familiarity with AutoML tools to streamline model development.
• Basic Knowledge of Kuberflow for orchestrating machine learning workflows.
• Experience with cloud platforms (Kubernetes, AWS, Azure) and containerization tools like Docker is a plus.
• Prior experience int he renewable energy domain is a strong advantage.
• Deep learning techniques and frameworks such as TensorFlow or PyTorch is a plus.
  
  

As a person, you demonstrate strong analytical thinking, curiosity, and a problem-solving mindset. You can work both independently and collaboratively, communicating complex finding clearly to nontechnical stakeholders. A high level of attention to detail, adaptability, and a passion for continuous learning are essential, especially in fast evolving environments like renewable energy. Strong teamwork, ownership, and a proactive attitude toward challenges and innovation are key to thriving in this role.

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada6 de set.

Python TSQL Machine Learning Power BI Tableau

We power people’s progress.

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters.

Meet the team!

At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact.

As a Senior Data Scientist - Insights, you will be a key player in shaping the future of our product and driving our strategy forward. Embedded within a cross-functional squad, you’ll collaborate closely with product managers, tech leads, designers, and other key stakeholders to deliver data-driven insights that shape business decisions.

Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply!

What You’ll Be Doing

• Develop a deep understanding of the dynamics of our product, including user behavior and the economics of Preply’s marketplace.
• Focus on the continuous improvement of our platform by gathering and analyzing data to uncover valuable insights that will shape product evolution and strategy.
• Analyze customer behavior and product usage, improve our understanding of what drives retention and effectively communicate findings to both technical and non-technical stakeholders to drive informed decision-making.
• Quantify and model the impact of new product features and initiatives, identifying growth opportunities and contributing to the prioritization of our product roadmap.
• Help define key performance indicators, tracking events, and engagement metrics that align with business goals and product improvements.
• Design, execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.
• Build strong relationships with data and technical leaders to foster collaboration and drive cross-team initiatives.
  
  

What You Need To Succeed

• Experience in data analytics working with product teams, experimenting and uncovering opportunities for product optimization.
• Experience designing and analyzing A/B tests with a strong grasp of relevant statistical concepts.
• Strong understanding of data analysis concepts such as conversion, LTV, cohort analysis, retention, etc.
• Proficiency in one or more programming languages (e.g., SQL, Python), with the ability to write efficient and scalable code.
• Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.
• Ability to craft compelling stories with data and communicate complex insights in a clear and engaging way, driving change among diverse stakeholders.
• Interest in the bigger picture, feeling excited to impact the product roadmap and strategy.
  
  

Nice To Have

• Background in 2-sided marketplaces or digital businesses (B2B, B2C, B2B2C).
• Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap).
• Familiarity with machine learning techniques and how they can be applied to enhance user behavior predictions or product recommendations.
• Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).
• Master's degree or PhD in a quantitative field.
• Previous experience in mentoring or coaching others.
  
  

Why You’ll Love It At Preply

• An open, collaborative, dynamic and diverse culture;
• A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
• A competitive financial package with equity, leave allowance and health insurance;
• Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub
• Access to free mental health support platforms;
• Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;
• The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).
  
  

Our Principles

• Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
• We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
• Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
• Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
• Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
• Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
• Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
• Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
• Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
• One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.
  
  

Diversity, Equity, and Inclusion

Preply is committed to creating a diverse and inclusive environment where people from all backgrounds can thrive. Different opinions and viewpoints are key ingredients in our success as a multicultural Ed-Tech company.

Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. Together, we are The World Class.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada5 de set.

Python TSQL Azure Scala Spark Big Data Machine Learning Power BI Tableau

¿Eres un apasionad@ de la ingeniería y ciencia de datos y te interesa seguir desarrollando tu carrera como data scientist and engineering specialist en proyectos estables?

nuestro cliente

Randstad Digital es la empresa de consultoría tecnológica del grupo Randstad especializada en servicios tecnológicos estables. Estamos presentes en más de 20 mercados y contamos con más de 25.000 especialistas a nivel global y a nivel nacional con más de 400 y tenemos oficinas en Madrid, Barcelona, Valencia, Sevilla, Zaragoza, Bilbao y Valladolid. Ofrecemos una amplia gama de servicios y soluciones tecnológicas para empresas de diferentes sectores: Banca, Seguros, Industria, Telecomunicaciones, Media, Digital, Aeronáutica, Automoción, Servicios y Administraciones públicas.

tus funciones

Análisis y Modelización de Datos: Aplicación de Databricks para el análisis de datos, la construcción de modelos predictivos y la generación de insights de valor para el negocio.
Colaboración Interdepartamental: Interlocución continua con ingenieros, analistas y responsables de negocio para definir requerimientos y aportar soluciones eficaces.
Desarrollo de Flujos de Datos: Diseño y construcción de pipelines de datos escalables, empleando Databricks y otras tecnologías del ecosistema Big Data.
Optimización de Procesos: Mejora continua de los flujos de trabajo en el procesamiento de datos, con especial foco en el rendimiento y la eficiencia de costes.
/ Reporting y Visualización: Creación y seguimiento de dashboards e informes para comunicar los hallazgos clave a audiencias no especializadas.

requisitos del puesto
- Formación: Ciclo Formativo Grado Superior
- Idiomas: Inglés: C1
- Conocimientos: data, data science, azure databrick, Pytorch, Azure Machine Learning
- Experiencia: 5 años

Stack Tecnológico: Experiencia avanzada en el ecosistema Big Data, especialmente con herramientas como Databricks y Apache Spark.
Programación: Alto nivel de competencia en Python y SQL para el tratamiento de datos, así como experiencia en Scala.
Machine Learning: Experiencia práctica en la aplicación de librerías y frameworks de aprendizaje automático (TensorFlow, PyTorch, scikit-learn) para el desarrollo de modelos.
Visualización de Datos: Habilidad para transformar datos complejos en visualizaciones claras e impactantes a través de herramientas como Tableau o Power BI.
/ Pensamiento Analítico: Gran capacidad para el análisis y la resolución de problemas complejos, identificando patrones y proponiendo soluciones eficientes.

tus beneficios

¿A qué esperas para formar parte de nuestro gran equipo Randstad Digital?, aquí encontrarás motivos para ello: PLAN DE FORMACIÓN CONTINUA, plan de formación anual, acceso a plataforma elearning de formación técnica, plataforma de formación en habilidades¿ ACOMPAÑAMIENTO Y PLAN DE CARRERA, Tendrás un referente de Randstad Digital cerca de ti en todo momento. CONCILIACIÓN, Sabemos que tu vida personal es tan importante como la profesional por eso podrás disfrutar de 23 días de vacaciones y en la mayoría de nuestros proyectos tendrás un horario flexible. COMPROMISO y ESTABILIDAD, Incorporación a empresa en continuo crecimiento que apuesta por las nuevas tecnologías. SALARIO COMPETITIVO acorde a tu experiencia profesional. CONDICIONES contractuales competitivas, Plan de retribución flexible (tarjeta restaurante y cheques guardería) y Randstad Care, plataforma de ofertas y descuentos exclusivos.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada1 de set.

API Python TSQL Azure AWS Power BI Spark Machine Learning Tableau

NTT Data somos todas las personas que la formamos. Un equipo de más de 139.000 profesionales, tan diverso cómo diversos son los 50 países en los que estamos presentes y los diferentes sectores en los que desarrollamos nuestra actividad; telecomunicaciones, entidades financieras, industria, utilities, energía, administración pública y sanidad.

¿Nuestra misión? Ofrecer soluciones tecnológicas, de negocio, estrategia, desarrollo y mantenimiento de aplicaciones, siendo un referente en consultoría. Todo gracias a la colaboración entre equipos, la calidad humana de nuestra gente y a que no nos conformamos con lo establecido, buscamos siempre la innovación que nos acerca al futuro.

Descripción de la oferta: NTT Data desea contratar consultores de proyectos de analítica avanzada e IA para el departamento de Business Analytics – sector banca.

Las personas candidatas deben ser capaces de obtener conclusiones de negocio a partir de grandes volúmenes de información mediante la modelización avanzada de datos.

Es necesario tener alguna experiencia probada en desarrollo de proyectos analíticos en sector financiero.

Titulación: Formación en Matemáticas, Físicas, Ingeniería, Estadística o formación similar. Se valorarán Posgrados en Inteligencia Artificial y/o Ciencia del dato.

Experiencia: 1 - 3 años de experiencia en Analítica Avanzada y ciencia del dato aplicada a servicios financieros.

Conocimientos:

Requerido:

• Background analítico y de programación (Python, pyspark)
• Visualización de datos con herramientas como PowerBI, Tableau, Looker o similar
• Nivel Avanzado en inglés

Valorado:

• ETLs (SQL, Spark DataFrames API)
• Conocimiento de aplicaciones de machine Learning, Deep Learning y estadística en diferentes dominios. Conocimiento en natural language processing (NLP) y en Large Language Models (LLMs)

Deseable:

- Conocimiento de entornos de nube como Azure, GCP o AWS.

- Certificaciones en entornos de nube (Azure, AWS, GCP)

Soft skills:

• Fuerte pensamiento analítico.
• Buenas habilidades de comunicación.
• Trabajo en equipo y colaborativo.
• Toma de decisiones basada en datos.

¿Qué te ofrecemos?

Te ofrecemos la incorporación a una compañía que marca la diferencia estando cerca de nuestros clientes, superando las expectativas, gestionando proactivamente nuestros proyectos y a nuestros clientes y centrándonos en la calidad a través de la selección de los empleados con la mentalidad adecuada para asegurar nuestro crecimiento.

Más allá del alcance de tu responsabilidad directa, formarás parte de la práctica de Business Consulting en la que te encontrarás con un equipo dinámico, joven, entusiasta y siempre orientado hacia el éxito, a partir de una fuerte cultura emprendedora pero, sobre todo, de un gran ambiente de trabajo, en el que todos formamos parte de un proyecto compartido, y en el que todos somos importantes.

Trabajamos día a día para crear un entorno en el que podamos explorar, vivir y potenciar nuestra propia singularidad.

#WeAreAllUnique #YouMakeUsUnique