We maximize product availability with minimal cashflow investment in 1/10 of the time. We solve a real problem for SMEs. With AI.
VOIDS is the leading forecasting and inventory management software solution for D2C brands. The VOIDS platform automates accurate product-level demand forecasting to proactively identify risks such as inventory inefficiencies (e.g., out-of-stocks) and take recommended actions to eliminate them before they occur. We help e-commerce brands achieve 98% inventory efficiency, 20x ROI, and six-figure cash profits in a matter of weeks. 50+ success stories, including FC Bayern, 6pm, Rosental, and Blackroll confirm this. Since our product launch in June 2023, we’ve achieved approximately 300% growth over the past year, and we’re now positioned to double our ARR by the end of 2025.
At VOIDS, you'll find a game-changing personal growth opportunity if you are driven, fast-paced, and passionate about challenging the status quo. Embrace the opportunity to take direct ownership of scaling our AI platform's success. Work alongside the team and co-founders Jannik and Tobias, who bring a wealth of experience in e-commerce growth and AI-based demand forecasting.
🛠 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
✅ 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
🧱 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)
🎯 What Success Looks Like (First 3 Months)
* You’ve gained a solid understanding of the product and the data behind it
* You’ve shipped a larger feature / improvement that’s already in customers’ hands
* You’ve found and delivered a technical improvement that made dev or user life better
* You’ve built first relationships with customers that boost feedback cycles
* Everyone in the team knows what you are doing, and you proactively support others
🤖 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
🎁 What You’ll Get
* Permanent full-time contract (no B2B)
* Competitive salary (€90,000–€110,000)
* Equity available for senior hires
* 30 days paid vacation
* New Mac Book Pro & min. 2 Monitors in the office ;)
* Regular team events and quarterly off-sites
* Real ownership and influence
* A calm, focused work environment that rewards initiative
* Wellpass membership to unlimited fitness, yoga, swimming, climbing, and more
🧑🏫 Hiring Process
We move fast and keep it simple.
* Initial Screening (30 min)
* Technical Interview with CTO (30 min)
* Realistic Live Coding Challenge (90 min)
* Meet the Team in Hamburg
* Offer within 2 weeks from start to decision
👉 Apply here or send us your answers and your CV: jobs@voids.ai
Standort
VOIDS, Hamburg