Data Scientist (NXJ-47)

Newxel; Deutschland; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A technology company is seeking a Data Scientist to analyze large datasets and develop machine learning models. This hybrid role allows candidates from across Europe to start remotely and offers opportunities for career growth. The ideal candidate will have a strong background in Python, SQL, and data science principles, along with excellent communication skills. The company provides a competitive salary, benefits, and a chance to work in an innovative environment.

Leistungen

Competitive salary and benefits package

Medical insurance

Top equipment kit

Collaborative and innovative work environment

Career growth opportunities

Qualifikationen

• Strong foundation in mathematical and statistical concepts.
• Excellent English communication and collaboration skills.
• Proven ability to work independently and within a team.

Aufgaben

• Analyze large and complex datasets related to Amazon sales and logistics.
• Develop and deploy machine learning models.
• Communicate findings to stakeholders.

Kenntnisse

Python for data science

SQL for data querying

Mathematics and statistics

AWS or Google Cloud

Deep learning frameworks

Ausbildung

Bachelor's or Master's degree in a quantitative field

Tools

pandas

NumPy

scikit-learn

Git

Jobbeschreibung

We are looking for a dynamic Data Scientist to join our partners’ R&D team. You will have a unique opportunity to make a significant impact. You’ll collaborate with the team to analyze large datasets, build predictive models, and generate insights that directly inform business decisions and drive client success.This role suits someone eager to apply analytical skills to real-world problems, contribute to data-driven initiatives, and help shape the long-term direction of the company’s data strategy in a collaborative environment.This is a hybrid role in Spain (Malaga or Madrid). Candidates across Europe can start remotely and relocate later.

Responsibilities

• Analyze large and complex datasets from various sources related to Amazon sales, advertising, and logistics
• Develop, test, and deploy machine learning models for tasks like sales forecasting, inventory optimization, and pricing strategies
• Collaborate closely with the software engineering members of our technology team to integrate data science models into our production systems
• Communicate findings and insights to technical and non-technical stakeholders

Requirements

• Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering
• Strong foundation in fundamental mathematical and statistical concepts
• Deep proficiency in Python for data science, encompassing both its core libraries (e.g., pandas, polars, NumPy, scikit-learn) and modern software development practices (e.g., version control with Git, testing, documentation)
• Proficiency with SQL for data querying and manipulation
• Experience with cloud platforms such as AWS, Google Cloud, or Azure
• Excellent English communication and collaboration skills, with a proven ability to work effectively both independently and within a small, distributed team

Will be a plus

• Familiarity with deep learning frameworks like TensorFlow or PyTorch
• Experience with, or a strong interest in, modeling dynamic systems (e.g., using concepts from control theory, physics, or econometrics)

What we offer

• Competitive salary and benefits package
• Medical insurance
• Top equipment kit
• Collaborative and innovative work environment
• Career growth and development opportunities
• A chance to work with a talented and driven team of professional

About the project

Our client is a European technology powerhouse shaping the future of digital commerce. Their mission is to make online business management smarter, faster, and fully automated. By combining deep data expertise with intelligent software, they build autonomous agents that continuously optimise key business processes — from pricing and advertising to inventory and operations — all in real time.Behind the scenes, their team of engineers, data scientists, and product experts is redefining how technology and data work together at scale. It’s a place where innovation meets real-world impact, where cutting-edge AI systems learn, adapt, and drive growth for hundreds of online stores worldwide.