Senior Applied Scientist - Retail Forecast (m/f/d)

About us

FPT Software Europe is part of FPT Software -- a global technology and IT services provider headquartered in Vietnam, with $1 billion in revenue (2023) and over 30,000 employees across 30 countries. The company delivers world-class services in Advanced Analytics, AI, Digital Platforms, Cloud, Hyperautomation, IoT, Low-code, and more.

FPT Software partners with over 1,000 clients worldwide, including 91 Fortune Global 500 companies across industries such as Aviation, Automotive, Banking, Financial Services and Insurance, Healthcare, Logistics, Manufacturing, Utilities, and beyond.

Founded in 2012, FPT Software Europe is a trusted technology partner of more than 100 leading enterprises across Europe.

Join FPT and:

• Be part of a diverse, international, and innovative work culture
• Gain opportunities to work with global enterprises across multiple industries and regions

As a Senior Applied Scientist specializing in demand forecasting, you will work closely with data scientists, engineers, and business stakeholders to design and deliver next-generation forecasting solutions.

Your work will directly support inventory planning, stock optimization, and improved product availability.

Key Responsibilities

• Contribute to the team roadmap and collaborate with product managers and engineers on high-impact initiatives
• Conceptualize, prototype, and productionize state-of-the-art demand forecasting models
• Own the full lifecycle of forecasting algorithms, from opportunity discovery to production deployment
• Continuously improve models by exploring new data sources, methodologies, and problem formulations
• Communicate technical concepts and results effectively to both technical and non-technical stakeholders
• Build scalable model pipelines and streamline analytical workflows using modern data science tools

Required Skills and Experience

• Master's degree or PhD in a quantitative discipline such as statistics, mathematics, economics, physics, or operations research
• Strong theoretical foundation in statistics, time series analysis, econometrics, and machine learning
• Knowledge of causal inference is a strong plus
• At least 5 years of industry experience (or 3 years with a PhD) developing forecasting models
• Deep understanding of statistical and machine learning forecasting techniques, with a pragmatic mindset
• Extensive experience with Python and its data science ecosystem, including production-quality code
• Strong problem-solving skills and ability to work independently
• Excellent written and verbal communication skills in English

Preferred Qualifications

• Experience with optimization tools (e.g. Gurobi)
• Experience working with large-scale data and production ML systems
• Familiarity with Agile/Scrum methodologies

Benefits

• Attractive salary with 30 days of vacation
• Meal allowance for each day working on-site
• Transport cost covered with the Deutschlandticket
• Hybrid working model in modern offices
• FPT company events and corporate benefits program
• Office location near Berlin HBF (Ostbahnhof)