Senior Data Scientist - Demand Forecasting
Senior Data Scientist - Demand Forecasting
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Senior Data Scientist - Demand Forecasting at VOIDS Technology GmbH
Requirements
Location: Only for applicants from Germany
Language: English - Fluent
Must-Have Skills
- Fluent English communication skills; German is a plus
- Clear, professional, and asynchronous communication abilities
- 5+ years of Data Science experience, including at least 2 years specifically in time series forecasting (preferably consumer products)
- Proven 3+ years of Python experience, focusing on data science libraries such as NumPy, Pandas, Polars, scikit-learn, PyTorch, XGBoost, statsmodels, etc.
- Practical 2+ years of experience with forecasting methodologies and tools such as Nixtla, Darts, statsmodels, sktime, etc.
- Experience building and maintaining pipelines and APIs for model training/inference, using tools such as Airflow, AWS Sagemaker, MLflow, etc.
- Hands-on experience with SQL databases, ideally PostgreSQL
- Strong product intuition and a proactive, ownership-oriented mindset
- Demonstrated ability to ship and continuously enhance meaningful features
- Comfort with ambiguity and autonomy in problem-solving
Bonus / Nice-to-Have
- Experience with eCommerce and/or B2B SaaS startups
- Background in data engineering for scalable data pipelines, to cover the whole data pipeline more full-stack
- Familiarity with infrastructure frameworks (Terraform, Kubernetes, etc.)
- Exposure to technologies for handling larger data sets such as BigQuery, Spark etc.
- Contributions to developer experience and internal tooling improvements
Activities
What you'll do
As a Senior Data Scientist – Demand Forecasting, you’ll own the core of our product: the VOIDS demand forecasting engine that currently forecasts €1,000,000,000 € of yearly revenue for our customers. Your mission is to solve our toughest challenge—developing and continuously improving a scalable forecasting solution capable of accurately predicting demand for diverse e-commerce customers. You'll thrive in complexity, handling varied and dynamic datasets, numerous input variables, shifting market behaviors, and volatile trends. Specifically, you will:
- Lead development of the forecasting engine that fuels VOIDS demand forecasting services, directly influencing customer outcomes and satisfaction
- Design and implement scalable forecasting methodologies adaptable to a diverse customer base and unique datasets
- Actively engage with customers, gathering deep insights and feedback to ensure our forecasting solutions meet their evolving needs
- Collaborate closely with the CTO, CEO, customer success, and engineers
- Identify and execute strategic improvements in scalability, accuracy, and performance of forecasting systems
- Enhance developer experience, advocating best practices, and upgrading tooling within the data science and engineering teams
- Actually get things done, deciding yourself what to focus on — without bureaucracy
Team
Tech Stack
- Programming: Python (Pandas, Polars), SQL
- Modeling: Statistical, ML, and neural time series models (mostly Nixtla)
- Data Storage: PostgreSQL, AWS S3 (Parquet)
- ML Infrastructure: AWS SageMaker, AWS Lambda, MLflow
- Orchestration: Airflow on AWS
- Collaboration & AI Tools: GitHub Copilot, ChatGPT
- Containerization: Kubernetes (Airbyte hosting)
How We Work
- AI-driven productivity: We actively leverage Copilot, GPT-4, and other AI tools.
- Fast-paced, high-impact, no overhead: Short daily stand-ups (15min), efficient weekly planning (30min), autonomous decisions, ship daily
- Engineering culture & values: pragmatism, simplicity, maintainability & customer focused
- 50/50 Hybrid flexibility: Mix remote work with our inspiring office in Hamburgs city center
- Continuous learning: We trust your expertise, value your ideas, and encourage proactive growth
- Autonomous decision making: We trust engineers to own their work and loop others in when needed, typically there is only lightweight consultation with the CTO and engineers
About The Company
At VOIDS we automate precise demand forecasting at the product level to detect business risks (e.g. out-of-stocks) pro-actively and initiate single click counter actions in one simple application.
Click on "Apply" for details on the benefits, the team and the application process.
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