Application Engineer

Dataviva — Greece · Posted ~13 hours ago

Full-time

Skills

Python NumPy Jupyter Software development lifecycle Requirements analysis Software testing Agile development Machine Learning

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

Develop next-generation retail planning and optimization solutions as part of a collaborative application engineering team. You will analyze business requirements, design and test features, work with Python-based data tools, and contribute throughout the software development lifecycle while gaining exposure to real-time analytics, AI, and machine learning.

Highlights

Collaborative role with mentorship, additional training and certifications, exposure to AI and machine learning, and involvement throughout the software development lifecycle.

Description

As an Application Engineer you will: Develop new features and functionalities for our next-generation retail planning and optimization solutions in Supply Chain, Demand Forecasting, Merchandise & Assortment and Price & Promotion along with our wider application engineering team (Tech stack: Python, NumPy, Jupyter)Work with our dedicated Product Managers to analyze business user requirements, design, develop and test new features and functionalities for our solutions, experiencing the complete software development lifecycle Work on cutting-edge decision support systems and state of the art data platforms, combining collaborative planning capabilities with real-time data analytics, AI algorithms and Machine LearningReceive mentorship (optional) as well as additional training from both inside and outside the company (additional courses, trainings, and certifications)Join a highly collaborative, cross-functional team and work as part of an agile development process on modern development and collaboration platforms (Azure, Microsoft 365, Trello, others) Required Skills: Bachelor’s degree in Computer Science, Information Systems, Electrical Engineering, or related fieldsAt least 2 years of working experience in relevant position and Python programming with scientific librariesKnowledge in statistical analysis using PythonKnowledge in machine learning algorithms, feature engineering and modelingFluent in English (written and verbal communication) Desired Skills: Knowledge of Unix or Linux-type systemsKnowledge of source code version management (svn, git)Master’s degree in Computer Science, Information Systems, Electrical Engineering, or related fieldsKnowledge of traditional database systems (SQL) and a variety of data stores for unstructured and columnar data