Senior Data Engineer

Xenon7; España; A distancia; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A technology solutions company is seeking a highly skilled Data Scientist to design and deploy advanced ML solutions. The ideal candidate will have 5+ years in ML engineering, strong expertise in Python, Databricks, and AWS, and a deep understanding of supply chain management. This fully remote contract offers to work on dynamic projects with international clients and provides ample opportunities for career growth.

Servicios

Compensation in USD

Career growth with international clients

Fully remote work in Europe / India

Formación

• 5+ years of relevant experience in ML engineering, data science, or AI.
• Prior experience in supply chain ML applications is highly desirable.
• Proven ability to gather business requirements and translate them into technical solutions.

Responsabilidades

• Collaborate with stakeholders to analyze requirements.
• Architect and implement ML models for supply chain.
• Leverage AWS services to build and deploy ML solutions.
• Continuously monitor and optimize model performance.

Conocimientos

Python

Databricks

Snowflake

AWS

Machine learning knowledge

Supply chain management

Educación

Bachelor’s or Master’s degree in a related field

Descripción del empleo

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting‑edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on‑demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it’s empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

Role Overview

We are seeking a highly skilled Data Scientist with strong expertise in Python, Databricks, Snowflake, and AWS to design, develop, and deploy advanced ML solutions. The ideal candidate will possess deep functional knowledge of supply chain management—particularly inventory management—and demonstrate hands‑on experience with machine learning algorithms such as time series forecasting, regression models, and neural networks.

This role requires end‑to‑end ownership, from business requirement gathering to solution delivery, along with strong communication and stakeholder management skills.

Responsibilities

• Collaborate with business stakeholders to gather and analyze requirements, ensuring alignment with project objectives.
• Architect and implement ML models for supply chain and inventory management use cases.
• Work with Python, Databricks, and Snowflake for data preparation, modeling, and pipeline development.
• Leverage AWS services to build, deploy, and scale ML solutions in production environments.
• Apply advanced algorithms including time series forecasting, regression, LSTM, neural networks, and classification models.
• Drive discussions, present solutions, and take full ownership of the end‑to‑end ML delivery process.
• Continuously monitor, evaluate, and optimize model performance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 5+ years of relevant experience in ML engineering, data science, or AI solution delivery.
• Prior experience in supply chain ML applications is highly desirable.
• Programming & Data Platforms: Python, Databricks, Snowflake
• Cloud Services: AWS (ML and deployment‑relevant services)
• Machine Learning Expertise: Time series forecasting, regression, LSTM, neural networks, classification models
• Functional Knowledge: Strong understanding of supply chain management, with a focus on inventory management processes and challenges
• Proven ability to gather business requirements and translate them into technical solutions.
• Strong problem‑solving mindset with a proactive and ownership‑driven approach.
• Excellent communication skills for engaging with technical and non‑technical stakeholders.

Benefits

• Compensation in USD.
• Long‑term / full‑time freelance contract.
• Fully remote work in Europe / India.
• Career growth with international clients and dynamic projects.