We maximize product availability with minimal cashflow investment in 1/10 of the time.

We solve a real problem for SMEs. With AI.

The problem we solve: Mid-size Shopify brands lose revenue and cash to stockouts and inefficiencies every day. They can see the problem. They can't fix it fast enough.

What VOIDS does: VOIDS is the AI brain for mid-size Shopify brands. We forecast demand at the product level, catch stockouts and inefficiencies before they happen, and tell e-commerce teams exactly what to do — or execute it automatically with a click.

The result: 98% inventory efficiency. 20x ROI. Six-figure cash unlocked. Within weeks.

Traction: Launched June 2023. Since then: 300% growth, 1B+ data points processed, €2M ARR, 50+ brands live — including Hyrox, 6pm, Creamyfabrics, and NatureHeart. Now targeting €10M ARR by 2027.

Where we're going: Today we own demand forecasting and stock management. Tomorrow: fully autonomous AI-driven procurement. We're not building features — we're rebuilding how modern commerce operates.

Why join now: We're a small, fast team where every hire shapes the company's trajectory. You'll work directly with Jannik and Tobias - two founders who live and breathe e-commerce and AI - and own how we ingest, process, and activate 1B+ data points across our platform. This isn't a maintenance role. You'll build the data foundation for a fully AI-driven future.

With high autonomy. At real data scale. With real impact.

We're just getting started — want to build it with us?

🚀 The Mission

At VOIDS, data isn't just infrastructure — it's the product. Our pipelines already power over €1,000,000,000 in yearly e-commerce revenue, processing complex transactional, behavioral, and marketing datasets at scale. We move fast, operate with high autonomy, and build things that actually matter to our customers.

We're now looking for a Senior Data Scientist who can take our data infrastructure to the next level — someone who doesn't just maintain pipelines, but architects them with purpose, scalability, and ownership in mind.

🛠 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:

• Develop 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
• Run our forecasting operations, making sure fresh and stable models and forecasts are shipped to our customers reliably
• 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
• 3+ years of Data Science experience, including at least 2 years specifically in time series forecasting (preferably consumer products)
• Experience building and maintaining pipelines and APIs for model training/inference, using tools such as Airflow/Dagster, AWS Sagemaker, MLflow, etc.
• Hands-on experience with SQL databases, ideally PostgreSQL
• Delegating work to entire AI workflows and shipping AI-enabled data / modelling pipelines where actual decisions and work is done by AI. We want to build a tech stack that can e.g. pick the right setup for a customer with the help of AI.
• Strong product and customer intuition and a proactive, ownership-oriented mindset
• 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
• Practical experience with forecasting tools such as Nixtla, Darts, statsmodels, sktime, etc.

🧱 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

🎯 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-first engineering: We don't just use AI tools — we delegate entire workflows to them. You're expected to embrace this fully and help us push it further.
• Fast-paced, high-impact, no overhead: Short daily stand-ups (15min), efficient weekly planning (30min), autonomous decisions, ship daily
• Pragmatic engineering values: simplicity, maintainability, customer focus — no over-engineering.
• Customer proximity: You'll be in direct contact with customers in pilot projects. Good communication matters as much as good code.
• 50/50 hybrid: Remote flexibility combined with our office in Hamburg city centre with drinks and snacks.
• 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 (€80,000–€100,000)
• Equity
• 30 days paid vacation
• All AI subscriptions with unlimited usage you want
• 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

💡 How to apply

We care less about titles and more about impact.

When you apply, tell us:

• A forecasting model you built and what complexity you dealt with
• How you currently use AI in your daily engineering workflow — concretely, not in theory
• What motivates you, and what kinds of data problems you find genuinely interesting

👉 Send us your answers and your CV: to jobs@voids.ai or shoot us a message on LinkdedIn.