Associate Data Scientist: Fashion Forecasting & AI

Vans; Lavamünd; Hybrid; EUR 52.000 - 84.000; Vollzeit

Benefits dieser Stelle

On-site gym

50% discount VF brands

Breakout areas with complimentary hot)

Inclusion & Diversity programs

Zusammenfassung

Vans is seeking an associate-level Data Scientist to forecast demand across product lines, sizes, stores and markets. You will work with a senior mentor to grow toward end-to-end ownership of forecasting models and AI applications used in merchandise planning.

You will apply time-series methods, ML techniques and SQL to deliver reliable forecasts, supporting buying, allocation and replenishment decisions. English communication is essential.

Qualifikationen

• Bachelor’s degree in a data-related field with 1–2 years of experience in data science and forecasting.
• Experience in fashion, apparel or retail is a strong plus.
• Strong foundations in time series forecasting and ML concepts.

Aufgaben

• Forecast demand across product lines, sizes, stores and markets.
• Collaborate with data engineers, product, planning and merchandising to drive adoption.
• Benchmark and productionize forecasting models and AI use cases.

Kenntnisse

Demand forecasting

Cold-start forecasting

Zero-shot & foundation models

Time series foundations

Python & ML libraries

Statistics & SQL

Generative AI basics

Databricks & Spark

MLOps & pipelines

Cross-functional collaboration

Curiosity & communication

Ausbildung

Bachelor's degree (Master’s a plus) in Data Science, Statistics, CS, Engineering

Tools

Databricks Lakehouse

Python (pandas, NumPy)

PyTorch or TensorFlow

StatsForecast / NeuralForecast

MLflow / Unity Catalog

Spark / Streamlit

Jobbeschreibung

Vans is seeking an associate-level Data Scientist to forecast demand across product lines, sizes, stores and markets. You will work with a senior mentor to grow toward end-to-end ownership of forecasting models and AI applications used in merchandise planning.

You will apply time-series methods, ML techniques and SQL to deliver reliable forecasts, supporting buying, allocation and replenishment decisions. English communication is essential.