Ofertas de empleo de Científico/a de Datos en Barcelona

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoTemporal
• Publicada26 sept.

React Python R Excel Tableau

Do you want to live the experience of a Multinational with the dynamism of a Startup?

If you are looking for an internship that will test your skills and boost your career, our Schneider Trainee Program is for you.

Be part of an inclusive environment in which you can co-create solutions to key challenges in the industry learning from our experts.

Take your creativity and innovation to another level while enjoying a paid internship with flexible hours and interactive workshops.

Join our #SEGreatPeople

https://youtu.be/VbldHPFltQQ

Departament and Project description:

Our mission to set up systems and effective processes which protect and react in front of quality and safety issues from our offers (product, solutions and services).

What will you learn?

• An End to End Business Platform to manage Quality and Safety offer issues
• Quality Methods and Tools to improve any company processes
• To Work closely with the process owners to understand the requirements and objectives related to the data.
• To Analyze data, ensuring its reliability in collaboration with the responsible process owners.
• Ensure that the improvement translates into the corresponding process flows.
• Conduct detailed data analysis to identify patterns, trends, and improvement opportunities. And relate this data to other data in Quality databases to find possible correlations that help us carry out preventive studies and predictive analysis of Offer Quality through statistical techniques.
• Present clear and concise reports and visualizations of data analysis results.
• Collaborate with other teams and departments to provide information and recommendations based on data analysis.

Are you who we are looking for?

• University student in Data Science, specializing in Quality Management Systems.
• Knowledge of data analysis techniques and statistics.
• Familiarity with data analysis tools such as Excel, Python, R, or similar tools.(TABLEAU)
• Ability to work independently and in a team, cross-team.
• Excellent verbal and written communication skills.
• Attention to detail and ability to analyze and synthesize large volumes of data.
• Interest and passion for data analysis and process improvement.

What can we offer?

• An experience specially designed for your learning and development
• Paid internships (depending on the schedule you establish, min. 20 hours and max. 30 hours per week, € 700-900 / month)
• Monthly sessions to enhance your development and employability (Trainee's Academy)
• Track your evolution and learning
• Time flexibility to combine it with your studies
• One day of free disposal per month (cumulative)
• Duration of, at least 6 months with the possibility of extension or contracting

*We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners. We want our employees to reflect the diversity of the communities in which we operate. We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company. We’re looking for people with a passion for success — on the job and beyond.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 sept.

Python TSQL Machine Learning

Summary

Location: Barcelona, Spain

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 team has become 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:

• Build solutions using visualization techniques, machine learning, and statistical modeling.
• Support on the development of new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
• Quickly learn and pilot the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions and to improve status quo.
• Bring understanding of one or more areas of data science and 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.
  
  

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 Python
• Experience in SQL
• Strong analytical and problem-solving skills.
• Good communication and presentation skills
• Fluent English (written and verbal)
  
  

Why consider Novartis?

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

Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada19 sept.

Python TSQL Docker Cloud Coumputing REST Machine Learning Office

Job Description
Hi there!

We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don’t miss your chance.

This is our role
Data Scientist for those who want to turn ideas into reality using code, algorithms, and maybe a bit of magic

Tasks in the role

- Create models to provide AI insights from traffic data

- Analyze usage and predict&analyze client behavior

- Conducting experiments, storing results, retraining models, quality monitoring, and alerting

- Conducting code reviews


Requirements
Who we are looking for

- Specialized education (mathematics/physics/computer science)

- Deep understanding of machine-learning algorithms and methods

- Knowledge of probability theory, linear algebra, and mathematical analysis

- Ability to write clean Python code

- Experience with databases (SQL DBs, BigQuery)

- Work experience of at least two years in a similar role

- English at a B2 level or higher


Not required, but a plus

- You have experience with explainable AI

- You have experience with MLFlow.

- You have experience with GitLab CI

- You have experience with GCP and Vertex AI

- You have experience in developing ETL processes with Airflow

- You have experience in deploying ML systems with batch/real-time processing and monitoring (Grafana, Prometheus, Alertmanager)

- Reproducible and well-documented research


A bit about the team
You can get to know the team better at one of the interviews, but some brief information about future colleagues will be useful now.

The AI Lab Team is part of the Competitive Intelligence Unit, which develops products for domain traffic and market analytics. The result of our work are: the AI insights for our tools and internal models. We work with a large amount of data and use machine learning in our solutions.
Some projects we want you to be a part of:

- Churn prediction model

- Traffic chart description

- Insights about potential audience


Our stack:

- Google Cloud Platform

- Data Storage: BigQuery, Google Cloud Storage

- Language: Python

- Tools: Airflow, k8s, Docker, FastAPI, XGboost, Pandas, TensorFlow/Torch, MLFlow

- LLM APIs: OpenAI, Google


We will try to create all the right conditions for you to work and rest comfortably

- It’s up to you to decide what work format works best for you. You can #wfo, #wfh, or mix both

- Flexible working day start

- Unlimited PTO

- Hobby benefit

- Breakfast, snacks, and coffee at the office

- Corporate events

- Training, courses, conferences

- Gifts for employees

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

Python TSQL Cloud Coumputing Hadoop AWS R Spark Big Data Machine Learning Power BI Tableau

Desde Grupo Planeta nos encontramos en la búsqueda de un/a Data Scientist para nuestra división de Planeta Formación y Universidades.

La misión será entender la estructura de nuestro modelo de datos, proponer nuevos modelos utilizando herramientas y técnicas de análisis con machine learning y utilizarlos como una herramienta para entender, analizar, proyectar, dar visibilidad y proponer nuevas implementaciones para impulsar el departamento.

¿Cuáles serían tus principales funciones?

• Recopilar, procesar y analizar grandes conjuntos de datos de diversas fuentes.
• Desarrollar, implementar y optimizar modelos estadísticos y algoritmos de aprendizaje automático.
• Realizar análisis exploratorios de datos y generar visualizaciones claras y comprensibles.
• Colaborar con equipos y departamentos de negocio para entender los requisitos y traducirlos en soluciones técnicas.
• Implementar y mantener pipelines de datos eficientes y escalables.
• Monitorear y evaluar el rendimiento de los modelos implementados, y realizar mejoras continuas.
• Mantenerse actualizado con las últimas tendencias y tecnologías en el campo de la ciencia de datos y el aprendizaje automático.
• Gestionar, mentorizar y supervisar el trabajo del equipo de analistas de datos, proporcionando orientación técnica y profesional.
• Coordinar y asignar tareas dentro del equipo de analistas de datos, asegurando la eficiencia y cumplimiento de plazos.
• Desarrollar y ejecutar planes de desarrollo profesional para el equipo, fomentando un ambiente de aprendizaje y crecimiento.
  
  
  

Requisitos:

¿Qué nos gustaría ver en tu CV?

• Título universitario en Ciencias de la Computación, Ingeniería, Estadística, Matemáticas, Física, o un campo relacionado. Se valorará la formación de posgrado.
• Experiencia demostrada de al menos 2 años en un rol similar.
• Sólidos conocimientos de:
• Lenguajes de programación como Python (y R valorable).
• Bases de datos: SQL.
• Matemáticas y estadística, familiarizado con probabilidad, inferencia estadística y álgebra lineal.
• Familiaridad con herramientas de visualización de datos como Matplotlib, Seaborn, Tableau o Power BI.
• Experiencia en el uso de plataformas de big data y cloud computing (e.g., Hadoop, Spark, AWS, Google Cloud Platform).
• Experiencia con bibliotecas y herramientas de aprendizaje automático (machine learning) como TensorFlow, Keras, PyTorch, Scikit-learn, entre otras, para construir modelos predictivos y entender los patrones de los datos.
• Habilidad para resolver problemas complejos y tomar decisiones basadas en datos.
• Se valorará conocimiento en técnicas de procesamiento de lenguaje natural (NLP) y análisis de series temporales.
  
  

Encajarías con nosotros/as si te consideras una persona con…

• Habilidad para resolver problemas complejos y tomar decisiones basadas en datos.
• Excelentes habilidades de comunicación y capacidad para trabajar en equipo.
• Pensamiento crítico y habilidades analíticas avanzadas.
• Creatividad e innovación en la resolución de problemas y que pueda aportar nuevos enfoques.
• Experiencia previa en la gestión de equipos de analistas de datos o roles similares.
• Habilidades de liderazgo, incluyendo la capacidad de inspirar y motivar a los miembros del equipo.
• Competencias en la evaluación del rendimiento y retroalimentación constructiva.
• Orientación a resultados y capacidad para trabajar bajo presión y cumplir con plazos ajustados.
  
  
  

¿Qué ofrecemos?

• Contrato estable: Indefinido y a jornada completa.
• Podrás desarrollarte profesionalmente gracias a nuestros planes de formación y desarrollo de talento interno.
• Descuentos y promociones exclusivas para nuestros empleados (masters y posgrados, sellos editoriales, coleccionables, Casa del Libro…).
• Un atractivo paquete de beneficios sociales a través del plan de retribución flexible que incluye: tarjeta transporte, tarjeta restaurante, cheque guardería, seguro médico, etc.
  
  
  

Si crees que es tu oportunidad laboral, ¡Te animamos a inscribirte y formar parte de nuestro equipo!

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

Teletrabajo Python TSQL Git REST Machine Learning Tableau Office

Job Description
Hi there!

We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don’t miss your chance. This is our role Senior Data Analyst / Data Scientist for those who want to turn ideas into reality using code, algorithms, and maybe a bit of magic
Tasks in the role

- Manage complex analytical projects from initiation and root business problem formulation to final implementation and adoption into the business process

- Collaborate with cross-functional teams and stakeholders to ensure the successful implementation of analytical projects

- Develop, deploy, and maintain statistical and ML models, data mining algorithms, or other advanced analytical solutions to solve business challenges

- Perform data preprocessing, feature engineering, and data wrangling tasks, ensuring data quality and integrity

- Create and maintain data visualizations and reports to communicate results effectively

- Design and control the execution of A/B tests and experiments to check hypotheses and ensure the added value of developed analytical solutions

- Communicate analytical results to stakeholders and colleagues in a clear and understandable manner

- Drive effective knowledge transfer within the company´s data analytics community through technical demos, knowledge-sharing sessions, and building the knowledge base

- Stay at the forefront of emerging data analytics technologies and trends


Requirements
Who we are looking for

- Bachelor´s degree in STEM, Economics, Business Analysis, or a related field is preferred

- Solid foundation in math, probability theory, and statistics

- 3+ years of experience in data analysis, data science, or a related field

- Proficiency in SQL and relational databases

- Proficiency in Python including advanced data manipulation, visualization, and modeling

- Proficiency in Machine Learning (ML)

- Strong analytical and problem-solving skills

- Strong communication and interpersonal skills

- Familiarity with airflow, DBT, git, and cloud-based platforms (GCP)

- Experience in mentoring and guiding data analysts

- Experience in managing complex data analytics projects


Not required, but a plus

- You used BigQuery ML in practice

- Proficiency in data visualization and BI (Tableau)

- You share our common values: Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it’s not worth wasting time on something you don’t believe in; and enthusiasm for Constant Changes, because we are always looking to make things better


We will try to create all the right conditions for you to work and rest comfortably

- It’s up to you to decide what work format works best for you. You can #wfo, #wfh, or mix both.

- Flexible working day start

- Unlimited PTO

- Hobby benefit

- Breakfast, snacks, and coffee at the office

- Corporate events

- Training, courses, conferences

- Gifts for employees