Staff Applied Scientist – Distribution Center Solutions

Jobtailor; Deutschland; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Afresh is seeking a lead AI/ML Research Engineer to drive replenishment models and scalable software. You will design models for demand, perishability, and multi-echelon networks, guiding from research to production with rigorous validation.

You will mentor researchers and engineers, raise the bar for experimental rigor, and collaborate with product teams to translate business needs into optimized solutions using Python data tools.

Qualifikationen

• MS or PhD in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or another quantitative field.
• For MS: 8+ years of industry experience; for PhD: 4+ years of industry experience.
• Experience researching and building systems for large-scale decision making under uncertainty.
• Experience in inventory optimization, supply chain management, network optimization, forecasting, game theory, decision analysis, stochastic optimization, or related fields is a plus.
• Excellent communication and presentation skills; ability to explain complex mathematical ideas to product teams in plain English and translate business requirements into constrained optimization problems.
• Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc).
• Nice to Have: understanding of ML Platform and a passion for mentorship.

Aufgaben

• Lead R&D work to develop and optimize AI/ML models powering replenishment technology.
• Model consumer demand, perishability, and multi-echelon supply chains.
• Advance core system from research to production with rigorously tested scalable code.
• Mentor scientists and engineers, set experimentation standards, and review designs and results.
• Push AI capabilities in products and scientist workflows.

Kenntnisse

Operations Research

Stochastic Optimization

Approximate Dynamic Programming

Decision Analysis

Game Theory

Forecasting

Network Optimization

Complex Problem Solving

Software Implementation

Experimental Rigor

Ausbildung

MS/PhD in quantitative field (OR/IE/CS/EE) or related

Tools

Python

NumPy

Torch

Pandas

Jobbeschreibung

Responsibilities

• Lead R&D work at Afresh for the development and performance of AI/ML models that power replenishment technology.
• Model consumer demand, item-level perishability, and complex multi-echelon supply chains.
• Drive fundamental changes to the core system from research through production, writing rigorously tested and scalable code.
• Raise the technical bar across the Intelligence team: mentor scientists and engineers, set standards for experimental rigor, and review designs and results.
• Push the boundaries of AI capabilities in both products and scientist workflows.

Requirements

• MS or PhD in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or another quantitative field, or equivalent practical experience.
• For candidates with an MS, 8+ years of industry experience; for candidates with a PhD, 4+ years of industry experience.
• Experience researching and building systems that support large-scale decision making under uncertainty.
• Prior experience in areas such as inventory optimization, supply chain management, network optimization, forecasting, game theory, decision analysis, stochastic optimization, approximate dynamic programming, or related fields is a plus.
• Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English and easily translate business requirements into constrained optimization problems.
• Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc). Prior experience with Python is not required.
• Nice to Have skills: understanding of ML Platform and a passion for mentorship.

Core Competencies

Demonstrates expertise in developing and implementing AI/ML models for replenishment technology, with a strong focus on inventory optimization and supply chain management. Capable of mentoring teams and communicating complex concepts effectively to diverse stakeholders.

Highest-signal resume keywords

• AI/ML Model Development
• Inventory Optimization
• Supply Chain Management
• Python Data Stack
• Mentorship

Hard Skills

• Operations Research
• Stochastic Optimization
• Approximate Dynamic Programming
• Decision Analysis
• Game Theory
• Forecasting
• Network Optimization
• Complex Problem Solving
• Software Implementation
• Experimental Rigor

Soft Skills

• Excellent Communication
• Presentation Skills

Industry Keywords

• Large-Scale Decision Making
• Perishability
• Multi-Echelon Supply Chains
• Research and Development
• Technical Standards

Tools & Technologies

• Python
• Numpy
• Torch
• Pandas