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Data Scientist

  • Job
    Full-time
    Mid Level
  • Madrid

AI generated summary

  • You need 3+ years as a software engineer and Python developer, expertise in deep learning (TensorFlow, PyTorch), NLP, Django ORM, databases, Docker, cloud (AWS/Azure), and async processes.
  • You will research and implement advanced Large Language Models to analyze raw data and reports, providing insights for the fashion retail industry.

Requirements

  • 3+ years of experience working as a software engineer.
  • Bachelor’s degree in Computer Science, Engineering or related field
  • 3+ years of experience as a production level Python developer and Deep learning frameworks: Tensorflow, Keras or Pytorch
  • Machine learning and Python data libraries like scikit-learn, pandas or numpy
  • Experience with NLP (Natural Language Processing)
  • Experience with LLMs: RAG (Retrieval-Augmented Generation), LangChain, Prompt Engineering, etc
  • Django ORM
  • PostgreSQL or other relational databases
  • Familiar with Transformers and other SOTA deep learning architectures
  • Familiar with HuggingFace and out of the box LLMs
  • Image processing libraries like OpenCV or Pillow
  • NLP processing libraries such as Spacy or NLTK
  • Asynchronous processes with RabbitMQ and Celery
  • System monitoring with InfluxDB, Grafana
  • Working knowledge of containers (Docker)
  • Experience working with cloud based infrastructures (AWS, Azure…)

Responsibilities

  • Your Job
  • We are seeking a highly skilled and innovative Data Scientist to join our team and contribute to the research and implementation of cutting-edge Large Language Models for analyzing and give insights from our raw data and reports in the fashion retail industry.

FAQs

What is the job title for this position?

The job title for this position is Data Scientist.

Where is the job located?

The job is located in Madrid, Spain.

Is this position full-time or part-time?

This position is full-time.

What type of company is Centric Pricing™?

Centric Pricing™ is an AI-driven competitive assortment benchmarking and market trend insights solution for fashion, beauty, and home goods brands and retailers.

What is the main responsibility of the Data Scientist role?

The main responsibility is to research and implement cutting-edge Large Language Models for analyzing raw data and reports in the fashion retail industry.

What programming language does the company primarily use?

The company primarily uses Python.

What machine learning frameworks does the company use?

The company uses Keras as the main Deep Learning framework and is starting to use PyTorch for certain projects.

What kind of experience is required for this position?

The position requires 3+ years of experience as a software engineer, particularly as a production-level Python developer.

What educational background is preferred for this job?

A Bachelor’s degree in Computer Science, Engineering, or a related field is preferred.

Are there preferred skills for candidates?

Yes, preferred skills include experience with NLP, LLMs, Django ORM, and cloud-based infrastructures like AWS.

Does the company offer equal employment opportunities?

Yes, Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, or other protected statuses.

#1 PLM, Planning, Pricing and Inventory, Market Intelligence, Visual Boards for consumer goods businesses.

Technology
Industry
501-1000
Employees
2004
Founded Year

Mission & Purpose

Centric Software provides product lifecycle management (PLM), planning, pricing, and market intelligence solutions for businesses. Their platform helps companies streamline product design, development, sourcing, and pricing to maximise margins, reduce inventory, and increase efficiency. Centric Software's ultimate mission is to empower brands and retailers to drive go-to-market innovation and value creation through collaboration and sustainable practices. Their purpose is to transform the end-to-end process from concept to replenishment, enabling teams to bring consumer-centric products to market effectively.