Data Scientist | AI, Machine Learning & Retail Analytics IKEA Service Office

IKEA; San Sebastián de los Reyes; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

IKEA busca un Data Scientist senior para desarrollar y promover marcos de analítica avanzada dentro de equipos digitales multidisciplinares. Colaborará con áreas de negocio para traducir requerimientos en soluciones técnicas que optimicen decisiones en tiendas y mejoren productos digitales.

Trabajará con IA, LLMs y visión por ordenador, aplicando prácticas modernas de desarrollo de software, CI/CD y trabajo ágil para entregar soluciones escalables y de alto impacto a nivel global.

Formación

• Bachelor’s degree or equivalent in mathematic/engineering/science fields; master’s preferred.

Responsabilidades

• Develop and promote advanced analytics frameworks and services to improve business performance.
• Collaborate with stakeholders to translate requirements into technical solutions for store needs.
• Build scalable, resilient digital products ensuring a great customer experience globally.
• Apply modern software development practices, including debugging and version control.
• Ensure solutions align with actual business needs and deliver value.
• Promote agile data science with rapid prototyping, continuous deployment and performance measurement.
• Integrate AI to improve processes with LLMs and computer vision.

Conocimientos

Python

PySpark

Jupyter Lab

BigQuery

DataBircks

Advanced SQL

Git

GitHub Copilot

CI/CD

Azure/GCP

LLMs / AI agents

Computer Vision

Educación

Bachelor’s degree in Mathematics, Computer Engineering, Physics, Science, or equivalent

Master’s degree in Data Science, Machine Learning, Big Data, or Advanced Analytics

Herramientas

VS Code

GitHub

CI/CD pipelines

Databricks

Jupyter Lab

Descripción del empleo

WHAT YOU'LL NEED TO HAVE

• Bachelor’s degree in Mathematics, Computer Engineering, Physics, Science, or equivalent. Preferred: Master’s degree in Data Science, Machine Learning, Big Data, or Advanced Analytics
• Python, PySpark, in Jupyter Lab, Big Query, DataBircks environment.
• Advanced SQL skills for proper data storage and utilization.
• Proficiency with Git, development using GitHub Copilot, and adherence to best development practices.
• More than three years of experience as a Data Scientist, having developed projects involving the implementation of machine learning models and AI agents (based on LLM models and/or computer vision frameworks)
• Experience working with cloud platforms (Azure/GCP), and implementing DevOps practices.
• Strong analytical and problem-solving skills, with curiosity for learning and applying new technologies.
• Excellent interpersonal skills, with a collaborative mindset and ability to build strong relationships across teams and geographies.
• Proactive, self-organized, and committed to delivering high-quality results.

Funciones a realizar en la posición:

• Develop and promote advanced analytics frameworks and services that improve business performance as part of cross-functional digital product teams.
• Collaborate with business stakeholders and cross-functional teams to translate requirements into technical solutions that address real store needs, contributing to the adoption of algorithmic decisions and increasing performance of our digital products and effectiveness of our co-workers by actively educating and encouraging fellow team members to prioritize use cases for analytics and automation.
• Build digital products that are scalable, resilient and robust, ensuring a pleasant customer experience globally.
• Apply and utilize modern software development practices and related technologies, including debugging and version controlling, in order to efficiently deliver flexible digital solutions in close collaboration with others.
• Ensure that solutions fulfill and adapt to actual business needs to continuously generate value for Ingka by working closely together with co-workers from different functions.
• Promote and apply agile ways of working in relation to data science, including rapid prototyping, continuous deployment, and performance measurement.
• Integrate the use of AI to improve processes by developing agents or products based on large language models (LLMs) and computer vision.

YOUR RESPONSIBILITIES

• Good knowledge of modern applied algorithms (predictive and prescriptive) for extracting insights and making decisions based on data, focused on a Retail environment.
• Good knowledge of data pre-processing techniques, e.g. in relation to missing data points, and good capability to write demanding SQL queries that Extract, Transform and Load data from storage to an appropriate format.
• Experience with development tools and environments such as VS Code, GitHub, and CI/CD pipelines.
• Familiarity with cloud computing environments (Azure or GCP) for deploying and managing digital solutions and AI agents.
• Ability to collaborate with multidisciplinary teams and communicate effectively with both technical and non-technical stakeholders.
• Fluency in English and Spanish.