Ofertes d'ocupació de Científic/a de Dades

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada14 de juny

Teletreball Python TSQL Azure Cloud Coumputing Git AWS Machine Learning Office

About The Team

Here at Auctane, we're passionate about helping online businesses become more productive. We save thousands of merchants hours every day by automating the fulfillment side of their business. We partner with top eCommerce and shipping companies to make a previously complicated and labor-intensive process simple and enjoyable.

About The Role

As a Data Scientist, you will solve challenging logistics and optimization problems to make our customers more successful. You will analyze large amounts of data from a variety of sources, discover and solve real world problems, and develop metrics and business cases that will enable us to continually delight Auctane customers. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus.

What will you be doing?

• Work with the Data Science Manager and wider team to plan, implement, and support data science projects to help our customers work and ship more efficiently
• Communicate the results and methodology effectively within the team and to stakeholders across the business
• Stay on top of innovations and technologies in the world of Data Science, ML, and AI
• Collaborate with people in our Product and Engineering teams to put your work in the hands of customers
• Participate in regular project reviews
• Provide feedback to other members of the team
• Use visualization, reporting and other tools to improve the ways in which our team accesses and interprets datasets.
• Measure and continuously improve the accuracy of predictive models.
• Effectively document and communicate methodologies and results.
• Use data to inform and influence the direction of the product roadmap.
  

• Bachelor's degree in Computer Science, Maths, Statistics, or equivalent years of relevant work experience
• Strong interest in Data Science, Machine Learning, and AI
• Familiarity with data-engineering best practices and experience working with large, complex datasets
• Strong SQL & Python skills
• Experience working on end-to-end ML projects
• Advanced experience with software development practices, version control (e.g., Git), and basic code modularization.
• Effective communication skills — especially in explaining technical results to non-technical audiences
• Profienct in English, both verbal and written.
  
  

• Interest or experience in any of the following is a plus:
• Geospatial analysis
• NLP
• Neural Networks or Graph Neural Networks
• Cloud platforms like AWS, GCP, Azure
• ML / AI System Design
• LLMs & AI agents
  

• 💸 Clear and transparent compensation plan.
  
  

• 💰 Flexible salary benefits Save on personal income tax with Cobee for expenses like transport, restaurants, and kindergarten.
• 🩺 Private health insurance Free for all employees via Cigna, plus we cover 50% for your family members.
• 🏠 Remote-first culture All Auctane Spain team members work remotely. We support your setup with a €50 net/month home office allowance (€600/year).
• 🌅 Generous time off Enjoy 26 days of holiday per year (23 base days + your 🎂 birthday off, Christmas Eve, and New Year's Eve).
• 💻 Your gear, your choice Whether you prefer Mac or Windows, or need an extra screen, we'll make sure you're set up for success from day one.
• 🗓️ Annual Salary Review We're committed to recognizing your professional growth. Every year, we review salaries to reflect your individual development, achievements, and impact on our business success.
• 📙 Grow your skills We offer up to €2000/year in training (certifications, conferences, workshops) to boost your growth—both technical and personal.
• 📺 Learning resources Access internal and external training, including platforms like LinkedIn Learning, completely free.
• 🧘♂️ Holistic wellness program Includes access to Wellhub, Curalinc (psychological support), Rocketlawyer (legal advice), and regular health webinars & challenges.
• 😊 Volunteer day Take one day off a year to volunteer and give back. Bonus points for sharing pics on Slack!
• 👩⚕️ Free therapy vouchers Because your mental health matters.
• 🏐 Health & wellness support Get up to €55/month to cover your gym or fitness classes (yoga, boxing, pilates, etc.).
• 🗺️ Weekly language classes Improve or learn a new language (English, Spanish, French, Italian, or German) in small groups with expert instructors—on us!
• 🏥 Time for health Get 8 hours per year for personal medical appointments and 10 hours per year to support your family's medical needs.
• ⚖️ Work-life balance We're flexible and people-first. We know life happens, and we aim to make work work for you.
• 🩳 Short Fridays We work from 8:00 to 15:00 every Friday so you can start your weekend early.
• 🏖️ Summer Schedule From mid-July through August, enjoy reduced summer hours to make the most of your summer.
• 💜 Inclusive, upbeat culture No suits here—just a welcoming, casual, and respectful space where diversity is celebrated, and you can be your full self.
• 🌍 A global, multicultural team We're made up of 20+ nationalities, speaking 10+ languages. All communication is in English, so everyone's included.
• 📦 Packlink Pro discount Enjoy 99% off your personal shipments using our platform.
• 🔗 Referral bonuses Know someone amazing? Earn €1K–€3K when you refer candidates we hire—depending on the role.
• 🏢 Central Madrid office When you want a change of scenery, drop by our office in the heart of Madrid—free snacks and drinks included!
• 🏟️ Team events We work hard and play hard with regular team-building activities and meetups.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada14 de juny

Teletreball API Python TSQL Azure Cloud Coumputing Git AWS Machine Learning Office

About Us

At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe.

The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Endicia, Metapack, GlobalPost, Packlink, and Return Rabbit. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.

Our values

Win as One. Delight Customers. Deliver Great Outcomes.

About The Team

Here at Auctane, we're passionate about helping online businesses become more productive. We save thousands of merchants hours every day by automating the fulfillment side of their business. We partner with top eCommerce and shipping companies to make a previously complicated and labor-intensive process simple and enjoyable.

About The Role

As a Data Scientist, you will solve challenging logistics and optimization problems to make our customers more successful. You will analyze large amounts of data from a variety of sources, discover and solve real world problems, and develop metrics and business cases that will enable us to continually delight Auctane customers. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus.

What will you be doing?

• Work with the Data Science Manager and wider team to plan, implement, and support data science projects to help our customers work and ship more efficiently
• Communicate the results and methodology effectively within the team and to stakeholders across the business
• Stay on top of innovations and technologies in the world of Data Science, ML, and AI
• Collaborate with people in our Product and Engineering teams to put your work in the hands of customers
• Participate in regular project reviews
• Provide feedback to other members of the team
• Use visualization, reporting and other tools to improve the ways in which our team accesses and interprets datasets.
• Measure and continuously improve the accuracy of predictive models.
• Effectively document and communicate methodologies and results.
• Use data to inform and influence the direction of the product roadmap.
  

• Bachelor's degree in Computer Science, Maths, Statistics, or equivalent years of relevant work experience
• Strong interest in Data Science, Machine Learning, and AI
• Familiarity with data-engineering best practices and experience working with large, complex datasets
• Strong SQL & Python skills
• Experience working on end-to-end ML projects
• Advanced experience with software development practices, version control (e.g., Git), and basic code modularization.
• Effective communication skills — especially in explaining technical results to non-technical audiences
• Profienct in English, both verbal and written.
  
  

• Interest or experience in any of the following is a plus:
• Geospatial analysis
• NLP
• Neural Networks or Graph Neural Networks
• Cloud platforms like AWS, GCP, Azure
• ML / AI System Design
• LLMs & AI agents
  

• 💸 Clear and transparent compensation plan.
  
  

• 💰 Flexible salary benefits Save on personal income tax with Cobee for expenses like transport, restaurants, and kindergarten.
• 🩺 Private health insurance Free for all employees via Cigna, plus we cover 50% for your family members.
• 🏠 Remote-first culture All Auctane Spain team members work remotely. We support your setup with a €50 net/month home office allowance (€600/year).
• 🌅 Generous time off Enjoy 26 days of holiday per year (23 base days + your 🎂 birthday off, Christmas Eve, and New Year's Eve).
• 💻 Your gear, your choice Whether you prefer Mac or Windows, or need an extra screen, we'll make sure you're set up for success from day one.
• 🗓️ Annual Salary Review We're committed to recognizing your professional growth. Every year, we review salaries to reflect your individual development, achievements, and impact on our business success.
• 📙 Grow your skills We offer up to €2000/year in training (certifications, conferences, workshops) to boost your growth—both technical and personal.
• 📺 Learning resources Access internal and external training, including platforms like LinkedIn Learning, completely free.
• 🧘♂️ Holistic wellness program Includes access to Wellhub, Curalinc (psychological support), Rocketlawyer (legal advice), and regular health webinars & challenges.
• 😊 Volunteer day Take one day off a year to volunteer and give back. Bonus points for sharing pics on Slack!
• 👩⚕️ Free therapy vouchers Because your mental health matters.
• 🏐 Health & wellness support Get up to €55/month to cover your gym or fitness classes (yoga, boxing, pilates, etc.).
• 🗺️ Weekly language classes Improve or learn a new language (English, Spanish, French, Italian, or German) in small groups with expert instructors—on us!
• 🏥 Time for health Get 8 hours per year for personal medical appointments and 10 hours per year to support your family's medical needs.
• ⚖️ Work-life balance We're flexible and people-first. We know life happens, and we aim to make work work for you.
• 🩳 Short Fridays We work from 8:00 to 15:00 every Friday so you can start your weekend early.
• 🏖️ Summer Schedule From mid-July through August, enjoy reduced summer hours to make the most of your summer.
• 💜 Inclusive, upbeat culture No suits here—just a welcoming, casual, and respectful space where diversity is celebrated, and you can be your full self.
• 🌍 A global, multicultural team We're made up of 20+ nationalities, speaking 10+ languages. All communication is in English, so everyone's included.
• 📦 Packlink Pro discount Enjoy 99% off your personal shipments using our platform.
• 🔗 Referral bonuses Know someone amazing? Earn €1K–€3K when you refer candidates we hire—depending on the role.
• 🏢 Central Madrid office When you want a change of scenery, drop by our office in the heart of Madrid—free snacks and drinks included!
• 🏟️ Team events We work hard and play hard with regular team-building activities and meetups.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada13 de juny

Teletreball Python R Machine Learning Power BI

Buscamos para incorporarte directamente en plantilla de una empresa multinacional en plena expansion, un Data Scientist / Machine Learning Specialist para unirse a un equipo dinámico que trabaja con tecnologías modernas.

nuestro cliente

Reconocida empresa internacional del sector servicios.

tus funciones

Diseñar y montar modelos predictivos que optimicen nuestras operaciones.
Implementar algoritmos de Machine Learning para resolver problemas de negocio clave.
Crear dashboards y reportes avanzados en Power BI para ayudar en la toma de decisiones.
Colaborar estrechamente con el equipo de datos y stakeholders para identificar necesidades y traducirlas en soluciones técnicas.
Asegurar la calidad y precisión de los datos utilizados y generar insights accionables.

requisitos del puesto
- Formación: Ciclo Formativo Grado Superior
- Idiomas: Inglés: C1
- Conocimientos: Data Scientits, maching learning
- Experiencia: 3 años

Experiencia en el desarrollo de modelos predictivos y aplicaciones de Machine Learning.
Conocimientos avanzados en herramientas de visualización de datos, preferiblemente Power BI.
Sólidos fundamentos en Python, R u otros lenguajes de programación aplicados al análisis de datos.
Experiencia previa en el análisis de datos y generación de informes.
Habilidades para trabajar en equipo y gestionar proyectos de manera eficiente.

tus beneficios

Contrato indefinido.
Teletrabajo 2 días.
Formación continua.
Horario de Oficina.

¿por qué con randstad digital?

En Randstad Digital estamos enfocados en ayudarte a encontrar el puesto de trabajo que mejor se adapte a ti y a tus expectativas.

Sabemos que los perfiles profesionales IT son unos de los más demandados en el mercado laboral actual. Randstad Digital somos una división encargada de la selección profesional y especializada de perfiles IT tanto para su contratación directa como para su contratación temporal.

Usamos nuestra propia metodología de análisis y selección que nos permite garantizarte un puesto de trabajo 100% ajustado a tu perfil profesional.

Además estamos siempre cerca de ti, realizamos un seguimiento personalizado de tu incorporación para facilitarte la adaptación a tu nuevo puesto de trabajo. Y hacemos uso de nuestra tecnología para brindarte una experiencia excelente en tu búsqueda de empleo, proceso de selección y como trabajador.

¿A qué estás esperando?

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada13 de juny

Teletreball TSQL Cloud Coumputing AWS

En Arelance sabemos que las personas son el activo más importante dentro de una empresa y por tanto invertimos muchos esfuerzos en buscar los mejores profesionales para nuestros clientes, y en ofrecer a nuestros candidatos los mejores proyectos.

En este momento, estamos buscando a un/a especialista en ciencia de datos.

¿Qué buscamos en ti?
- Experiencia en informes MicroStrategy
- Experiencia en querys SQL
- Experiencia con cloud AWS

¿Cuáles serán algunas de tus funciones?
- Migración de informes de microstrategy on-premise a cloud AWS.
- Adecuación de las querys SQL necesarias para la replica de informes.

¿Qué ofrecemos en esta posición?
- Incorporación en un proyecto estable.
- Contratación indefinida desde el primer momento.
- Modalidad de trabajo 100% remoto.
- Acceso a formación.
- Salario a negociar según perfil y experiencia a aportar, hasta 37 K B/A

Si tienes interés en una gran oportunidad como ésta, ¡inscríbete!¡Queremos conocerte!

*** Sólo se valoran candidatos con permiso de trabajo y residencia en España ***

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

Teletreball React API .Net C# Java Python Agile CSS TSQL HTML Azure NoSQL Scrum Maven Jenkins Linux Angular Docker Cloud Coumputing Kubernetes Ansible Git Android REST Jira Groovy OpenShift AWS Spring iOS PowerShell Sass Bash DevOps jUnit QA MVC Gradle Eclipse Microservices Perl SQL Server

TELETRABAJO para Desarrolladores (AF, AT, AP, PS) en alguna de las siguientes OFERTAS.

OFERTAS ACTIVAS (*) : / * DATA SCIENTIST / * CLOUD ENGINEER - AMAZON WEB SERVICES /

* DATA SCIENTIST :
-SE REQUIEREN EXPERTOS EN CUALQUIERA DE LAS VERTICALES IA
-Extraer y analizar datos de las bases de datos de la empresa para impulsar la optimización y la mejora del
desarrollo de productos de la Segunda Ola Digital.
-Evaluar la eficacia precisión de las nuevas fuentes de datos y aplicar técnicas de recopilación de datos.
-A partir de los datos disponibles y haciendo uso de algoritmos o de componentes de RAIP desarrollar
modelos personalizados para resolver las iniciativas de IA existentes.
-Utilice el modelado predictivo para aumentar y optimizar las experiencias de los Clientes, la generación de
ingresos, la segmentación de anuncios y otros resultados empresariales.
-Diseñar marcos de pruebas A/B y determinar siempre una métrica para evaluar los modelos.
-Desarrollar procesos y herramientas para analizar el rendimiento del modelo y la precisión de los datos.
-Habilidades fuertes de resolución de problemas con énfasis en el desarrollo del producto.
-Experiencia en el uso del lenguaje Python.

* CLOUD ENGINEER / AMAZON WEB SERVICES :
-Desarrollo y soporte de Arquitectura Gen AI para cliente bancario.
-Experiencia previa en soporte IT, DevOps o administración de sistemas en entornos cloud.
-Conocimiento en AWS (IAM, EC2, S3, Lambda, CloudWatch, etc.)
-Familiaridad con Azure y GCP (no excluyente)
-Manejo de Bases de Datos SQL y NoSQL
-Experiencia con herramientas de monitoreo y logging en la nube
-Capacidad de ejecutar y depurar scripts en Python, Bash ó PowerShell
-Familiaridad con API REST y herramientas de integración SaSS.


* MIGRACION : COBOL, CICS, DB2 , JCL / MICROFOCUS ENTERPRISE DEVELOPER / SERVER
. . . . . . . . . . . . . : Conocimientos de ECLIPSE , LINUX ( bash scripting) , PYTHON


* CORE BANKING: CONOCIMIENTOS GENERALES DE BANCA
. . . . . 1.- ANALISTAS DE REQUERIMIENTOS , FUNCIONAL Y PRUEBAS DE USUARIO
. . . . . 2.- ANALISTAS CORE BANKING REGULATORIO ( MERCADOS FINANCIEROS Y MEDIOS DE PAGO )
. . . . . . . ( Business Analyst con Conocimientos amplios en CIRBE )

* HOST. . : ANALISTAS PROGRAMADORES MANTENIMIENTO : COBOL CICS DB2 JCL AS400
. . . . . . . . . : 1 AP CON NIVEL ALEMAN C1; 1 AP CON NIVEL DE INGLES B2 ; 1 PROGRAMADOR SENIOR

DWH / ETL . . : INFORMATICA, PL-SQL
FrontEnd. . . . : HTML5, HTML, CSS3,APPVERSE, QWT, JAVA SCRIPT , REACT
BackEnd. . . . : Indispensable APIs, Spring MVC, API, Maven, GIT, JIRA,
. . . . . . . . . . . . : Docker, Kubernetes, Openshift, JUnit, Nexus, SonarQ,
. . . . . . . . . . . . : Spring Data, Swagger, Agile
JAVA. . . . . . . : JAVA 8+, J2EE, J2SE,SCRIPT,(SHELL,PYTHON,PERL)
. . . . . . . . . . . . : MICROSERVICIOS , SPRINT BOOT ,
. . . . . . . . . . . . : (SVN,GIT) (API Rest,RAML,Springboot,)
. . . . . . . . . . . . : (JIRA,REMEDY,GITLAB)
Microsoft . . . : .NET, C#, VISUAL BASIC ANGULAR , SQL SERVER
Mobility. . . . . : IOS, ANDROID
Other . . . . . . : C/C++,VISUAL BASIC
Testing . . . . . : QA, SCRUM,AUTOMATION, MANUAL...
DBA . . . . . . . : LINUX,DOCKER,KUBERNETES,JENKINS,ANSIBLE
. . . . . . . . . . . .: (MAVEN,GRADLE)(JUNIT,KARMA,JASMINE)
. . . . . . . . . . . . : (PYTHON,JAVA,GROOVY)
. . . . . . . . . . . . : (ADMINISTRACION DE REDES)
DATABASE . . . : SQL Server, ETLs,DTSX, VISUAL BASIC , . NET , SAS
TIBCO . . . . . . . : BPM , LINUX

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada10 de juny

Teletreball Python Agile TSQL Azure Cloud Coumputing Big Data Machine Learning Power BI Tableau SQL Server

Amura IT es parte del ecosistema de Unikal, un especialista de especialistas con un porfolio integral de servicios diseñado para impulsar la transformación digital de cualquier organización. Como consultora tecnológica, Amura IT combina ingenio humano y tecnologías punteras para resolver problemas complejos y mejorar el rendimiento digital de las empresas. Con más de 20 años de experiencia en el sector TIC, ha trabajado en sectores como banca, seguros, farma, industria, retail, salud y utilities, aportando soluciones avanzadas de Data Analytics, Big Data y Digital & Agile. Sus áreas de especialización incluyen:

• Data Analytics & Big Data, para extraer el máximo valor de la información.
• Agile Development, capaz de construir soluciones a medida con las últimas tecnologías y metodologías de desarrollo del mercado para resolver cualquier problemática de nuestros clientes.

Con una visión enfocada en la innovación y el impacto positivo, Amura IT forma parte de Unikal para ofrecer soluciones tecnológicas que no solo optimizan negocios, sino que también contribuyen a una sociedad más digital, ágil y conectada.

¿Te interesa un rol versátil que combine lo mejor del mundo de la ciencia y la ingeniería de datos? Desde nuestra Business Line de Data Technologies, estamos buscando a un/a profesional apasionado/a por los datos, con experiencia en Azure ML Studio, SQL Server, Azure Data Factory y Python, para sumarse a un equipo innovador donde tendrás la oportunidad de desarrollar soluciones analíticas avanzadas y pipelines de datos escalables.

Si buscas un entorno donde puedas potenciar tu creatividad, trabajar con tecnologías punteras y contribuir al desarrollo de proyectos de impacto, ¡esta es tu oportunidad!

¿Cuáles serán mis responsabilidades en el día a día?

• Diseñar y desarrollar modelos de machine learning en Azure Machine Learning Studio, desde su concepción hasta su puesta en producción, asegurando su escalabilidad y rendimiento.
• Analizar grandes volúmenes de datos, aplicando técnicas estadísticas y de machine learning para resolver problemas de negocio y generar insights accionables.
• Construir consultas SQL avanzadas y procedimientos almacenados para extraer, transformar y preparar datos que alimentarán modelos predictivos y analíticos.
• Trabajar con pipelines de datos que alimenten los modelos analíticos, colaborando con Data Engineers en el desarrollo y optimización de procesos ETL/ELT mediante Azure Data Factory.
• Colaborar con equipos multidisciplinares para traducir necesidades de negocio en soluciones analíticas efectivas y alineadas con los objetivos estratégicos.
• Asegurar la calidad, trazabilidad y seguridad de los datos utilizados en los modelos, manteniendo las mejores prácticas de gobernanza y compliance.
• Participar en el diseño y mantenimiento de dashboards y visualizaciones para comunicar de forma efectiva los resultados y hallazgos de los modelos.

¿Cuáles son los requisitos de acceso a la oferta?

• Formación académica: Grado universitario en Ingeniería Informática, Matemáticas, Estadística, Física o similar. También se valorarán titulaciones de FP Grado Superior (DAM/DAW) con sólida experiencia.
• Experiencia mínima de 4 años en un rol de Data Scientist con participación en proyectos de análisis avanzado de datos, machine learning y ciencia de datos.
• Experiencia práctica con Azure Machine Learning Studio, incluyendo la creación, entrenamiento y despliegue de modelos en entornos productivos.
• Experiencia sólida en SQL y en el manejo de bases de datos relacionales, aplicando procedimientos almacenados y consultas para preparar datos de calidad
• Conocimientos avanzados de Python, aplicado tanto a la manipulación de datos como al desarrollo de modelos predictivos y scripts de automatización.
• Conocimientos de Azure Data Factory para colaborar en el diseño y optimización de pipelines que alimenten los modelos de datos.
• Familiaridad con entornos cloud, especialmente Microsoft Azure, y comprensión de su arquitectura y principales servicios.
• Se valorará experiencia con Scala/Spark y/o PySpark para el procesamiento de grandes volúmenes de datos.
• Conocimientos en herramientas de visualización como Power BI, Tableau o similares, para comunicar resultados y conclusiones a stakeholders.

¿Qué te aportará Amura IT?

🕓 En Amura IT apostamos firmemente por la conciliación entre la vida laboral y personal, por ello tendrás: flexibilidad horaria y modelo híbrido (2 días de oficina y 3 días de teletrabajo),

📍Oficinas ubicadas en Ciudad Lineal - Madrid

🚀 No estás solo, durante toda tu carrera en Amura IT, tendrás compañer@s de viaje que te guiarán y en los que podrás apoyarte para tener esa retroalimentación que te hará crecer en tu trayectoria profesional.

✨ En Amura IT apostamos por valores como la libertad responsable bajo el compromiso consciente de cada individuo, compañerismo, talento y vocación.

👩🏼🤝👩🏻👬 Participación en eventos de Team Building para tener un mayor approach a tus compañeros, hacer networking y que el lugar de trabajo sea un ambiente sano basado en la diversión.

📈 Plan de Carrera individualizado en una compañía que combina el ingenio humano con las tecnologías más punteras, para dar respuesta y ayudar a todas las personas a resolver problemas complejos y a poner nuestro granito de arena, para construir una sociedad mucho más positiva mejorando la vida de muchas personas.

¿Cómo será el proceso de selección?

🟢Llamada inicial▶️ Entrevista con dpto. RRHH▶️Entrevista con Líder Técnico

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada10 de juny

Python TSQL Hadoop R Excel Kafka Spark Big Data Machine Learning Power BI Tableau

¡En @Ayesa crecemos juntos! 🚀 ✨

Cada profesional de nuestra empresa es importante para nosotros, nos ayudan a crecer de manera diversa y gracias a ellos somos más de 14.000 personas trabajando con el mismo objetivo en más de 40 países.

Si eres una persona entusiasta, te apasiona la tecnología y buscas un nuevo reto profesional ¡Este es tu sitio!

Buscamos ampliar nuestro equipo con un/a Data Scientist para incorporase en el área de Data en nuestras oficinas de 📍Madrid (valorable otra disponibilidad geográfica)

¡Anímate a dar el salto!¡Te estamos esperando!

Requisitos imprescindibles:

• Experiencia demostrable como Data Scientist.
• Dominio de técnicas de machine learning y modelado estadístico.
• Capacidad para desarrollar modelos predictivos y algoritmos avanzados.
• Manejo fluido de herramientas como Python, R, Spark, TensorFlow o similares.
• Habilidad para traducir resultados analíticos en recomendaciones accionables.

Requisitos deseables:

• Conocimientos en herramientas de análisis y visualización como SQL, Excel, Power BI, Tableau.
• Familiaridad con herramientas de orquestación y procesamiento de datos como Apache Airflow, Spark, Kafka y Hadoop.
• Experiencia en entornos de big data y arquitectura distribuida.

Te ofrecemos un camino lleno de aventuras:

🔹 ¡Llega hasta donde tú quieras! Crece con nuestros programas de desarrollo! Te ayudaremos a marcar tu itinerario de futuro anualmente participando en proyectos vanguardistas con los mejores profesionales del sector.

🔹 Porque lo importante sois tú y los tuyos : contamos con políticas que facilitan la conciliación entre la vida profesional y personal: Flexibilidad horaria, Smart Job y jornada intensiva en verano.

🔹 Tú decides cómo usar tu dinero: disfruta de nuestra retribución flexible, contamos con: Seguro médico, Ticket Restaurant, Guardería y Transporte.

🔹 Plan Bienestar descuentos en viajes, tecnología, formación, deporte, belleza y ¡muchos más.

🔹 Diviértete participando en los diferentes concursos y actividades que organizamos: ¿te gusta el deporte, escribir, la fotografía? Todo tiene cabida.

🔹¡Actualízate! apostamos por un aprendizaje continuo, contamos con formación especializada, certificaciones e idiomas.

🔹¡Deja tu huella! Impacta con nuestros proyectos de voluntariado social.

¡Únete a la multinacional española tecnológica referente en el mundo! 💫🌎

Atendiendo a la Ley Orgánica 3/2007, de 22 de marzo, Ayesa se ha marcado como objetivo promover la defensa y aplicación efectiva del principio de igualdad entre hombres y mujeres, evitando cualquier tipo de discriminación laboral por razón de sexo, garantizando así las mismas oportunidades de ingreso.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada9 de juny

Python Azure Cloud Coumputing Hadoop R Excel Kafka Big Data Machine Learning Word

As the Senior Director of Data Science, you will be a transformational leader, responsible for guiding and inspiring a talented team of data scientists and machine learning engineers. In this role, you’ll drive the thought leadership and development of cutting-edge data solutions that enhance gameplay, improve user engagement, and optimize business outcomes. You will be a key partner for cross-functional teams—including product management, game operations, and growth—leveraging your data expertise to deliver engaging mobile games as well as industry-leading marketing performance.
*Key Leadership Responsibilities*

* *Visionary Leadership:* Define and communicate a clear vision and strategy for data science, ensuring alignment with organisational goals while inspiring your team to innovate and excel.
* *Mentorship & Development:* Provide ongoing mentorship, coaching, and professional development opportunities to foster growth and enhance team performance. Create a collaborative and high-performance team culture that attracts top talent and encourages long-term career progression.
* *Stakeholder Partnership:* Act as a trusted advisor and thought leader across the organisation, particularly with senior executives and cross-functional leaders, advocating for data-driven decision-making and empowering business units to leverage data science insights.
* *Change Management:* Lead the adoption of data science practices and continuous improvement, managing agility, ROI, and keeping the company up to date with evolving industry trends.
* *Ownership & Accountability:* Assume full accountability for the data science function, from project execution to final integration and outcome assessment, ensuring that your team delivers impactful results on time and within scope.
*Key Technical Responsibilities*

* *Data Science Strategy & Best Practices:* Drive best practices in A/B-testing, predictive modelling, user clustering and reinforcement learning, to continually raise the bar on data science value add.
* *Infrastructure Ownership:* Lead the development of data science frameworks, including A/B testing and other data science tooling. Ensuring scalability, accuracy, and reliability across projects.
* *Product & Engineering Collaboration:* Oversee integration of data science solutions into games and platforms, partnering closely with product and engineering to ensure end-to-end solution success.
* *Growth & Marketing Innovation:* Collaborate with growth and marketing teams to develop advanced prediction models that support a dynamic, high-performance marketing landscape.
* *Insight Communication:* Translate complex analytical insights into actionable recommendations, presenting them to the senior leadership team to inform critical business decisions.

*What we need from you*
PhD or MSc in Data Science, Computer Science, Statistics, Physics, or a related field.
*Experience*: 10+ years of data science experience, with a minimum of 5 years in a leadership role, managing teams in dynamic and collaborative environments.
*Technical Skills:*

* Proven expertise in clustering, predictive modelling, reinforcement learning, and Bayesian statistics.
* Experience in reinforcement learning and Agentic systems would be ideal
* Experience in ML Ops and deploying machine learning models at scale.
* Proficiency in Python or R, and familiarity with big data technologies (e.g., Hadoop, Kafka) and/or cloud platforms (e.g., GCP or Azure).
* Industry Knowledge: Experience in gaming or digital entertainment is a strong plus.
* Communication & Influence: Exceptional communication and interpersonal skills, with the ability to inspire and influence stakeholders at all levels of the organization, from junior analysts to executive leadership.
*What We´re Looking For*
.
*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?
*Our Values*

* *People First*
We have the deepest respect for our people and their well being. We know they are exceptionally talented and will always have a choice. We want them to re-choose us every day. We are committed to building a culture where each person´s voice will always be heard and addressed.

* *MAD for More*
Always improving, innovating and never settling for the existing. We push all boundaries with courage and ambition to become the world’s best games company.

* *Champion Together *
We excel at what we do but yet remain humble and helpful to our teammates. We champion one another and hold each other to high standards without any egos.

* *Globally Inclusive*
We are all Equal - regardless of the language we speak, where we live, our gender, religion or culture we come from. We want to build a global home, where everyone has the equal opportunity to make an impact.

* *Customer Focused*
We always think from the customer´s perspective - be it players or internal customers.
Improving their experience and joy is what drives us. Every client´s success is our big win!

*Travel Expectations*
Up to 25%*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.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada9 de juny

Teletreball Python Machine Learning Office

¿Can you imagine participating in the transformation of leading national and international organizations?

At Deloitte, we are committed to making an impact on society, our clients, and you.

Let´s continue the journey together?

As part of the Global Centralized Cybersecurity Threat Intel team, the Threat Intel Data Scientist reports to the Processing and Data Science Manager. Data Science lives within the Operations function of the Threat Intelligence group. As a Threat Intel Data Scientist, you will enable the automation of normalizing, processing, and enriching disparate sets of internal and external data sources into our Threat Intelligence Platform (TIP), and other intelligence-focused tools that facilitate research and analysis.

What will your day-to-day be like?

The Threat Intel Data Scientist is responsible for:
- Format intelligence data from various sources into a Threat Intelligence Platform, amongst other intelligence tools, using a single unified data model specialized for in-depth analysis and AI applications.
- Apply threat intelligence expertise to innovate, refine and enhance threat intelligence products.
- Identify and extract key artifacts from intelligence data for threat actor correlation and tracking. Also includes applying data science to identify correlation and clustering of threat activity.
- Identify internal and external sources of cyber threat data to enrich understanding of Deloitte´s internal landscape.
- Utilize machine learning to analyze cyber threat data and provide insights to stakeholders.
- Create comprehensive documentation and SOPs for projects, ensuring clarity for colleagues and management.

How do we imagine you?
- Bachelor´s degree in a technology-related field, or equivalent education-related experience.
- Minimum of 4 years of experience in threat intelligence, preferability with a focus on development and data analysis.
- Proficiency in the application of data science techniques, including machine learning and data visualization, to analyze large data sets of cyber threat intelligence data.
- Strong Python programming skills for developing automations and implementing data processing and normalization scripts, including interaction with APIs.
- Demonstrated ability to identify, correlate, and track threat actor activity sets and clusters based on host, network, or behavior-based data.
- Ability to identify and leverage both internal and external data sources to enrich cyber threat data to enable in depth intelligence analysis.
- Experience with generative AI and prompt engineering to enhance and automate threat intelligence products.
- Excellent written, verbal, and interpersonal communication skills in English for clear, effective collaboration.

How is it to work at Deloitte?

High-impact projects where you will have a long journey and learning experience

A hybrid-flexible daily routine: you will have flexible hours and a good balance between remote work and teamwork in our offices or our clients´ offices

Good atmosphere inside and outside the office: you will enjoy several team buildings per year, cultural and sports activities... and much more!

Comprehensive well-being: take care of yourself with our physical, mental, and financial health program... and with a medical team in the offices!

Social impact: You can sign up for a large number of national and international volunteer opportunities and pro-bono projects where you can put your time and talent at the service of those who need it most

Culture of feedback and continuous learning: you will grow in an inclusive environment where equal opportunities and your personalized training plan will boost your development. Can you already see yourself at the Deloitte University in Paris?

Exclusive benefits for being part of Deloitte: you will be able to enjoy a wide catalog of benefits and a complete flexible compensation plan

If you like what you read, here are your next steps:
- Apply for the position by clicking on ´Submit application now´ and complete your profile
- If you are a good fit for the role, our talent team will contact you to get to know you better

Start the process! We will guide you through the different stages until your incorporation.

Deloitte es una Firma de servicios profesionales firmemente comprometida con la igualdad de oportunidades. En este sentido, la Firma aceptará y tramitará solicitudes de todos los sectores de la sociedad, no discriminando por motivos de sexo, expresión de género, raza, religión o creencias, origen étnico o nacional, discapacidad, enfermedad o condición de salud, predisposición genética a sufrir patologías, edad, ciudadanía, estado civil, orientación o identidad sexual, situación socioeconómica o cualquier otra condición o circunstancia personal o social.