Ofertas de empleo de Científico/a de Datos en Madrid

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 oct.

Teletrabajo . Machine Learning

📍 Ubicación: España

🏢 Modalidad: remoto

💼 Posición: Responsable Data Science

🧩 Experiencia: Senior / Lead

📅 Proyecto: Entorno Data & Analytics con modelos productivos

🎯 Misión

Buscamos un/a Responsable Data Science para liderar técnicamente la ejecución de proyectos de Data Science, garantizando la calidad de los desarrollos, el cumplimiento de plazos y una coordinación fluida entre Negocio, Data Science e IT.

La persona será responsable de asegurar que los modelos y soluciones desarrollados por el equipo lleguen a producción con los niveles adecuados de calidad, estabilidad, documentación y mantenibilidad.

🧩 Responsabilidades

• Actuar como interlocutor/a principal con Negocio e IT.
• Liderar reuniones de seguimiento y comunicar avances, resultados, riesgos y dependencias.
• Gestionar expectativas y alcance de los proyectos.
• Coordinar con las áreas de Producción, Seguridad, Producto y resto de IT los aspectos técnicos necesarios.
• Definir y realizar el seguimiento de planes de trabajo, cronogramas y deadlines.
• Liderar técnicamente al equipo de Data Science.
• Validar los algoritmos y soluciones analíticas desarrollados.
• Supervisar la calidad del tratamiento y procesamiento de datos.
• Garantizar el cumplimiento de metodologías y estándares de desarrollo.
• Velar por la calidad y estabilidad del código desplegado en producción.
• Asegurar que los proyectos dispongan de una documentación técnica completa, estructurada y actualizada.
• Coordinar el soporte y mantenimiento de los proyectos productivos.
• Gestionar y coordinar la resolución de incidencias de los proyectos bajo responsabilidad del squad.

🛠️ Requisitos imprescindibles

• Experiencia sólida en Data Science y Machine Learning.
• Experiencia trabajando con modelos productivos.
• Experiencia liderando técnicamente proyectos de Data Science.
• Capacidad para interlocutar con Negocio y áreas técnicas de IT.
• Experiencia coordinando equipos o squads técnicos.
• Conocimientos sólidos de tratamiento y calidad del dato.
• Experiencia en entornos productivos y gestión de incidencias.
• Capacidad para trabajar con metodologías y estándares de desarrollo.
• Buenas habilidades de comunicación, organización y gestión de expectativas.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada4 oct.

Teletrabajo . Excel Office

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

• Design and improve data pipelines. Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.
• Ensure data correctness and scalability. Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.
• Develop internal data products and tooling. Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.
• Support platform-wide decision-making. Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.
• Leverage AI to accelerate work and uncover insights. Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends.
  
  

What we look for

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.
  
  

What we offer

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
• Competitive pay and access to company equity at a discount. Typical annual salary offers range from £85,797 to £151,436 in London and from €66,065 to €107,837 elsewhere in Europe. The lower end of these ranges applies to candidates with little or no relevant experience, while exceptionally experienced candidates may receive offers of up to £316,052 in London or €240,330 elsewhere in Europe. Candidates offered a permanent contract may choose to receive part of their compensation in discounted company equity.
  
  

Commitment & contract
Permanent or fixed-term. Full-time or part-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process.

Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

All applications go through our careers page, which is the only way to be considered. If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here.

We set the bar high and won’t extend an offer until we’re confident we’ve found the right candidate. This is why a job may remain open for months or be reposted several times.

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from one of our offices, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 oct.

Teletrabajo . Python TSQL

Data Scientist – Pricing & Analytics

Buscamos un/a Data Scientist con +2 años de experiencia para incorporarse a un proyecto en Retail, trabajando en modelos de pricing, promociones y análisis de demanda.

Requisitos

• +2 años de experiencia como Data Scientist.
• Experiencia en pricing, promociones o marketing analytics.
• Conocimientos de elasticidad y modelización de demanda.
• Python y SQL avanzado.
• scikit-learn, pandas, numpy, XGBoost/LightGBM.
• Statsmodels.
• Experiencia con GCP, Vertex AI y BigQuery.
• Conocimientos de pipelines de datos/ML y MLOps: despliegue, monitorización y reentrenamiento.
• Experiencia en Retail será muy valorable.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada2 oct.

Teletrabajo . Python TSQL Cloud Coumputing Spark Machine Learning

📍 Ubicación: España

🏢 Modalidad: Remoto

💼 Posición: Data Scientist

🧩 Experiencia: Senior

☁️ Entorno: Google Cloud Platform

🎯 Misión

Buscamos un/a Data Scientist para diseñar, desarrollar y escalar soluciones analíticas avanzadas y modelos predictivos capaces de trabajar con grandes volúmenes de datos, principalmente dentro del ecosistema Google Cloud Platform.

La posición estará especialmente orientada a Machine Learning, forecasting, modelos de propensión y optimización, con foco en llevar los algoritmos a entornos productivos.

🧩 Responsabilidades

• Diseñar y entrenar modelos de forecasting utilizando técnicas de Machine Learning.
• Desarrollar modelos de propensión para analizar y predecir el comportamiento de usuarios.
• Implementar algoritmos de optimización y programación lineal.
• Trabajar con grandes volúmenes de información, incluyendo miles de millones de registros.
• Realizar procesos de ingesta, limpieza, transformación y preparación de datos.
• Diseñar soluciones analíticas escalables sobre Google Cloud Platform.
• Orquestar workflows y procesos de Machine Learning.
• Desplegar y evolucionar modelos utilizando servicios de GCP / Vertex AI.
• Trabajar con Airflow y BigQuery.
• Utilizar Apache Spark para procesamiento distribuido.
• Desarrollar modelos y algoritmos utilizando Python avanzado.
• Realizar extracción, transformación y manipulación de datos mediante SQL avanzado.
• Desarrollar algoritmos orientados a producción, reduciendo al máximo el gap entre desarrollo y producción.
• Participar en la evolución y mantenimiento de modelos productivos.
• Atender incidencias 3N relacionadas con los proyectos desplegados en producción.
  
  

🛠️ Requisitos imprescindibles

• Experiencia sólida como Data Scientist.
• Experiencia demostrable en Machine Learning.
• Experiencia en forecasting.
• Experiencia en modelos de propensión.
• Conocimientos de optimización / programación lineal.
• Experiencia trabajando con grandes volumetrías de datos.
• GCP.
• Vertex AI.
• BigQuery.
• Airflow.
• Python avanzado.
• SQL avanzado.
• Experiencia con Apache Spark.
• Experiencia desarrollando soluciones que hayan llegado a producción.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada2 oct.

Teletrabajo . Python TSQL Cloud Coumputing Spark Machine Learning

¡Nueva oportunidad profesional | Senior Data Scientist – GCP!

Desde Tecdata Engineering buscamos incorporar un/a Senior Data Scientist para trabajar en un proyecto de alto componente analítico y tecnológico, desarrollando soluciones de Machine Learning sobre grandes volúmenes de datos.

📍 Ubicación: España

🏠 Modalidad: 100% remoto

💼 Posición: Senior Data Scientist

☁️ Entorno: Google Cloud Platform

🎯 ¿Cuál será tu misión?

Formarás parte de un entorno orientado al desarrollo y evolución de modelos predictivos y soluciones analíticas avanzadas, con especial foco en forecasting, modelos de propensión, optimización y Machine Learning, llevando los modelos desde la fase de desarrollo hasta su puesta en producción.

🔎 ¿Qué harás?

• Diseñar y entrenar modelos de forecasting mediante técnicas de Machine Learning.
• Desarrollar modelos de propensión para analizar y predecir el comportamiento de usuarios.
• Implementar algoritmos de optimización y programación lineal.
• Trabajar con grandes volumetrías de datos, incluyendo miles de millones de registros.
• Realizar procesos de ingesta, limpieza, transformación y preparación de datos.
• Diseñar soluciones analíticas escalables sobre Google Cloud Platform.
• Orquestar workflows y procesos de Machine Learning.
• Desplegar y evolucionar modelos mediante GCP y Vertex AI.
• Trabajar con BigQuery y Airflow.
• Utilizar Apache Spark para procesamiento distribuido.
• Desarrollar modelos y algoritmos utilizando Python avanzado.
• Realizar extracción y transformación de información mediante SQL avanzado.
• Llevar algoritmos y modelos a entornos productivos, minimizando el gap entre desarrollo y producción.
• Mantener y evolucionar modelos ya desplegados.
• Participar en la resolución de incidencias de nivel 3 (3N) relacionadas con soluciones productivas.
  
  

🛠️ ¿Qué buscamos?

Buscamos un perfil con experiencia sólida en Data Science y Machine Learning, especialmente en entornos de grandes datos y producción.

Requisitos Imprescindibles

✅ Experiencia sólida como Data Scientist.

✅ Experiencia en Machine Learning.

✅ Experiencia en forecasting.

✅ Experiencia con modelos de propensión.

✅ Conocimientos de optimización / programación lineal.

✅ Experiencia trabajando con grandes volumetrías de datos.

✅ Google Cloud Platform (GCP).

✅ Vertex AI.

✅ BigQuery.

✅ Airflow.

✅ Python avanzado.

✅ SQL avanzado.

✅ Apache Spark.

✅ Experiencia desarrollando soluciones que hayan llegado a producción.

🌟 ¿Qué ofrecemos?

🏠 100% remoto desde España

💻 Proyecto tecnológico de larga duración

🚀 Trabajo con Machine Learning y grandes volúmenes de datos

☁️ Entorno GCP / Vertex AI

🧠 Participación en proyectos con fuerte componente de Data Science e innovación

Si eres Data Scientist Senior y buscas un proyecto donde combinar Machine Learning, GCP, Python, BigQuery, Spark y modelos predictivos en producción, ¡nos gustaría conocerte!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 sept.

Teletrabajo . Python TSQL R Machine Learning

Job Summary

Are you passionate about turning data into actionable insights that transform planning performance and business outcomes?

Be part of a collaborative, innovative, and solution-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.

Where You'll Make a Difference

• Develop and enhance forecasting, predictive analytics, and decision-support solutions that improve planning performance and business outcomes.
• Analyze demand patterns, seasonality, market trends, and key business drivers to generate actionable insights.
• Drive forecast accuracy improvements by identifying sources of bias and recommending process enhancements.
• Design, develop, and maintain dashboards, key performance indicators, and analytical tools that support data-driven decision making.
• Partner with Demand Planning, Commercial, Supply Planning, Information Technology, and external stakeholders to translate business challenges into analytical solutions.
• Prepare, validate, and analyze large, complex datasets to support forecasting, scenario planning, and performance management activities.
• Develop, test, deploy, and maintain statistical and machine learning models that address business needs and improve planning capabilities.
• Support end-to-end project delivery, including discovery, design, development, testing, deployment, adoption, and knowledge transfer.
• Evaluate emerging technologies, analytical methodologies, and automation opportunities that can drive continuous improvement and long-term business value.
  
  

What Makes You the Right Fit

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Operations Research, Supply Chain, Industrial Engineering, Computer Science, or a related field.
• Experience in Data Science, Advanced Analytics, Forecasting, Demand Planning, Supply Chain Analytics, or a related discipline.
• Proven experience delivering analytical solutions that generate measurable business value.
• Strong understanding of statistical analysis, forecasting methodologies, and predictive modeling techniques.
• Experience developing and implementing machine learning models in a business environment.
• Proficiency in Python and/or R for data analysis, modeling, and automation.
• Strong knowledge of Structured Query Language (SQL), data management, and data preparation practices.
• Experience using data visualization and reporting tools to communicate insights effectively.
• Excellent communication and stakeholder management skills with the ability to explain complex concepts to technical and non-technical audiences.
  
  

How Would You Stand Out?

• Experience supporting Sales and Operations Planning (S&OP) or Integrated Business Planning processes.
• Knowledge of demand forecasting platforms, supply chain planning systems, or advanced analytics technologies.
• Demonstrated continuous improvement mindset with a passion for innovation, automation, and capability building.
  
  

Why Choose Us?

• Opportunity to work on high-impact global initiatives that shape planning and decision-making capabilities.
• Exposure to cross-functional teams and senior business stakeholders across multiple regions.
• Collaborative and inclusive work environment that values innovation and diverse perspectives.
• Continuous learning and professional development opportunities.
• Access to advanced technologies, analytical tools, and digital transformation initiatives.
• Competitive rewards package and flexible work arrangements based on local policies.
  
  

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more