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

• Nivell d'experiència---
• Tipus de contractePer dies
• Publicada3 de març

Teletreball Python Azure Cloud Coumputing Spark Big Data Machine Learning

En HAYS estamos colaborando con una compañía líder en el sector tecnológico que busca reforzar su equipo de analítica avanzada y machine learning.
Buscamos un Data Scientist (1-3 años de experiencia) para trabajar con datos masivos, modelos de IA y entornos cloud de última generación.

Requisitos
- Sólido nivel de Python orientado a análisis de datos y desarrollo de modelos.
- Experiencia con Apache Spark / PySpark y Databricks (idealmente en Azure).
- Conocimientos de Machine Learning y Deep Learning (redes neuronales).
- Buen nivel en matemáticas y estadística aplicada.

- Experiencia en:
- Análisis exploratorio (EDA) y limpieza de datos.
- Feature engineering.
- Entrenamiento, validación y evaluación de modelos.
- Visualización de métricas y resultados.

- Valorable:
- Certificaciones ML (AWS/Azure).
- Conocimientos de Knitro.

¿Qué harás?
- Trabajar con grandes volúmenes de datos en entornos distribuidos.
- Construir y validar modelos de Machine Learning y deep learning.
- Realizar ingeniería de características y preparar datasets complejos.
- Utilizar PySpark y Azure Databricks en proyectos reales.
- Presentar insights y resultados a equipos técnicos y de negocio.
- Colaborar en un entorno cloud moderno y altamente escalable.

¿Qué ofrecemos?
- Contrato indefinido
- 100% remoto desde España
- Trabajo con tecnología punta (Spark, Databricks, ML, Cloud)
- Entorno técnico, joven y en crecimiento

Si buscas un rol donde crecer como Data Scientist trabajando con Big Data, ML y cloud, este proyecto es para ti.
Apúntate y da el siguiente paso en tu carrera como Data Scientist.

• Nivell d'experiència---
• Tipus de contractePer dies
• Publicada2 de març

Teletreball Python Azure Cloud Coumputing AWS Spark Big Data Machine Learning

En HAYS estamos colaborando con una compañía líder en analítica avanzada y datos que busca reforzar su equipo con un perfil de Data Scientist orientado a Cloud Analytics y Snowflake.

Buscamos un Data Scientist (perfil 2) con sólidos fundamentos de ML y Big Data, pero con un plus en plataformas cloud analíticas.

Requisitos
- Experiencia o certificación Snowflake (SnowPro).
- Sólido dominio de Python orientado a análisis y Machine Learning.
- Experiencia con Spark / PySpark y Databricks.
- Conocimiento de plataformas cloud (Azure, AWS).
- ML y Deep Learning a nivel práctico.
- Valorable certificación en AWS Analytics o Azure Data Scientist.

¿Qué harás?
- Todo lo propio de un DS generalista:
- EDA, feature engineering, entrenamiento y validación de modelos.
- Trabajo con Python, Spark/PySpark y Databricks.
- Además, trabajo analítico y modelado sobre Snowflake.
- Procesamiento distribuido de datos a gran escala.
- Participación en proyectos cloud avanzados (Azure/AWS).
- Integración de modelos en ecosistemas de datos modernos.

¿Qué ofrecemos?
- Proyecto estable con contrato indefinido
- Rol centrado en Data Science + Cloud Analytics
- Trabajo 100% remoto desde España
- Entorno técnico de alto nivel y aprendizaje continuo

Si buscas combinar Data Science, Snowflake y entornos cloud modernos, este rol es para ti.
Apúntate y da el siguiente paso en tu carrera como Data Scientist especializado en Snowflake.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada27 de febr.

Machine Learning Office

Location: Barcelona - Spain (3 days working from the office and 2 days working from home)
Introduction to Role:

Join our Commercial Data Science and AI team, where we deliver digital and technology solutions to multiple business areas across OBU and BBU in the Global markets. As the Director for Data Science & AI Product (OBU), you will be responsible for driving AI initiatives, fostering innovation, developing cutting-edge products, ensuring adoption, working with a multi-functional team and most importantly making a difference in the lives of our patients and health care professionals. The focus of your role will be on Oncology business across Europe, Canada and International markets. This role partners closely with the Oncology therapy area leaders, digital/data/artificial intelligence teams, commercial teams, market access and enterprise platform teams to transform high value business problems into scalable, business friendly, impactful and compliant AI products which deliver measurable impact for the patients and the business.

Accountabilities:

As a member of the Commercial Data Science & AI team our mission is to take a patient-centric, data-driven approach to personalize and transform healthcare delivery to the millions of patients along with a multi-disciplinary team of physicians who care for them. This responsibility involves working closely with cross-functional Commercial, Medical, and Business leaders to identify, prioritize, and develop Data Science, AI, and Advanced Analytics Platforms & Products across Oncology businesses. The scope of this role is Global serving all the markets where AstraZeneca´s life-changing medicines are approved to help Patients live longer and realize AZ´s bold ambition.

Strategy and portfolio leadership: you will define the AI product vision and multi-year roadmap for the Oncology business unit. You would prioritise a balanced portfolio across use cases on commercial analytics, operational productivity, physician engagement, scientific engagement which are aligned to therapy area and brand strategies.

Product discovery and design: you will be leading discovery with cross functional partners to identify business problems, user journeys and validate feasibility, desirability, and the business impact. These insights will be translated into product requirements while championing the human centre design and responsible AI for our Oncology business units.

Data and AI excellence: you will be partnering with data engineering and platform teams to secure data access and quality. You will work with data scientist and AI engineers to guide on model selection and evaluation. The solution solutions should be scalable, aligned to the business varieties and make sound business impact for various tumour types and indications.

Cross-functional collaboration: You will be working with cross-functional teams across the geographies comprising of Business Excellence, brand and marketing teams and AI Scientists and AI Engineers. You will be liaising with other Global functions and teams to ensure we are following an enterprise approach for scaling AI products across indications, therapy areas and geographies.

Stake holder and change leadership: you will be building trust with senior leaders, brand and marketing teams, end users and the wider community. You will orchestrate communication, adoption programs, manage vendors and partnerships and represent DSAI team for OBU across the enterprise. You will play a key role in shaping our AI strategy, developing pioneering AI solutions, ensuring successful project delivery, and implementing standard methodologies and hence deliver value for the business.

End to end delivery: You will work to define and implement the AI strategy, finding opportunities for AI adoption and driving business impact. You will lead the end-to-end delivery of AI projects, from ideation to deployment. You will maintain a deep understanding of AI and machine learning technologies, MLOps tools, and stay updated on industry trends. You will also be responsible for ensuring adoption of the AI products in the geographies and by the end users.

Key Responsibilities:

- Develop a deep understanding of the Oncology business, different tumor types, indications and the core markets.

- Understand the current solution and the framework/architecture

- Plan and execute the deployment of products across other TA and geographies

- Collaborate with matrix teams (sales, marketing, IT, external vendors, etc.) to ensure effective and efficient deployment and adoption of product.

- Present the solution to stakeholders and solve the real-world business OBU problems

- Leverage AI/ML, mathematical programming, and statistical modeling to develop solutions that create a competitive advantage for our commercial organization.

- Support the full solution architecture cycle and lead the development work of core components.

- Actively seek out, develop, and share best practices. Stay abreast of the evolving business and technical landscape and remain current on the major data science development particularly in the Oncology business.

- Manage onshore and offshore external consultants

Essential Skills/Experience:

- Bachelors or Masters (or equivalent numbers of years of experience) in mathematics, computer science, engineering, physics, statistics, computational sciences or a related field.

- 10+ years of product management in digital or data science products and deploying AI products at scale.

- Proven experience in life sciences or healthcare ideally Oncology across R&D, medical or commercial use cases.

- Excellent communication and presentation skills, with the ability to convey complex AI concepts to non-technical partners.

- Ability to take initiative/navigate in a matrix environment.

- Project Management skills/Presentation skills, with a track record of leading successful AI projects and teams.

- Effectively interact and build strong relationships with colleagues from different functions/countries.

- Knowledge of software development principles

- Experience in data and analytics (AI / ML desirable but not essential).

At AstraZeneca, we connect across the whole business to power each function to better influence patient outcomes and improve their lives. We are dedicated to combining the science with our knowledge, to deliver greater value for patients every day. We take data seriously. Driven by the impact we know we can have; our high ethical standards never slip. This is the place where innovation meets large-scale impact. We are often seen breaking new ground, but without ever compromising on doing things the right way. We impact patients lives. Empowering and enabling the business to run faster and better, we play a part in improving lives across the world.

Ready to join a diverse team of inclusive self-starters? Apply now to be part of our journey towards becoming a digital and data-led enterprise!