Senior Data Scientist - Demand Forecasting (f/m/d)

<p><strong>We maximize product availability with minimal cashflow investment in 1/10 of the time. We solve a real problem for SMEs. With AI.</strong></p> <p><em>The problem we solve:</em> 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.</p> <p><em>What VOIDS does:</em> 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.</p> <p>The result: <strong>98% inventory efficiency. 20x ROI. Six-figure cash unlocked. Within weeks.</strong></p> <p><em>Traction:</em> Launched June 2023. Since then: 300% growth, 1B+ data points processed, €2M ARR, 50+ brands live — including Hyrox, 6pm, Creamyfabrics, and NatureHeart. Now targeting <strong>€10M ARR by 2027.</strong></p> <p><em>Where we're going:</em> 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.</p> <p><em>Why join now:</em> 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.</p> <p>With high autonomy. At real data scale. With real impact.</p> <h2>Tasks</h2> <p><strong>🛠 What you'll do</strong></p> <p>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:</p> <ul> <li>Develop the forecasting engine that fuels VOIDS demand forecasting services, directly influencing customer outcomes and satisfaction</li> <li>Design and implement scalable forecasting methodologies adaptable to a diverse customer base and unique datasets</li> <li>Actively engage with customers, gathering deep insights and feedback to ensure our forecasting solutions meet their evolving needs</li> <li>Collaborate closely with the CTO, CEO, customer success, and engineers</li> <li>Identify and execute strategic improvements in scalability, accuracy, and performance of forecasting systems</li> <li>Enhance developer experience, advocating best practices, and upgrading tooling within the data science and engineering teams</li> <li>Run our forecasting operations, making sure fresh and stable models and forecasts are shipped to our customers reliably</li> <li>Actually get things done, deciding yourself what to focus on — without bureaucracy</li> </ul> <h2>Requirements</h2> <p><strong>✅ Must-Have Skills</strong></p> <ul> <li>Fluent <strong>English</strong> communication skills; <strong>German</strong> is a plus</li> <li>Clear, professional, and asynchronous communication abilities</li> <li><strong>3+ years</strong> of Data Science experience, including at least <strong>2 years specifically in time series forecasting</strong> (preferably consumer products)</li> <li><strong>Experience building and maintaining pipelines</strong> and APIs for model training/inference, using tools such as Airflow/Dagster, AWS Sagemaker, MLflow, etc.</li> <li>Hands-on experience with <strong>SQL databases</strong>, ideally <strong>PostgreSQL</strong></li> <li>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.</li> <li>Strong <strong>product and customer intuition</strong> and a proactive, ownership-oriented mindset</li> <li>Comfort with <strong>ambiguity and autonomy</strong> in problem-solving</li> </ul> <p><strong>🌟 Bonus / Nice-to-Have</strong></p> <ul> <li>Experience with eCommerce and/or B2B SaaS startups</li> <li>Background in data engineering for scalable data pipelines, to cover the whole data pipeline more full-stack</li> <li>Familiarity with infrastructure frameworks (Terraform, Kubernetes, etc.)</li> <li>Exposure to technologies for handling larger data sets such as BigQuery, Spark etc.</li> <li>Contributions to developer experience and internal tooling improvements</li> <li>Practical experience with forecasting tools such as Nixtla, Darts, statsmodels, sktime, etc.</li> </ul> <p><strong>🧱 Tech Stack</strong></p> <ul> <li><strong>Programming</strong>: Python (Pandas, Polars), SQL</li> <li><strong>Modeling</strong>: Statistical, ML, and neural time series models (mostly Nixtla)</li> <li><strong>Data Storage</strong>: PostgreSQL, AWS S3 (Parquet)</li> <li><strong>ML Infrastructure</strong>: AWS SageMaker, AWS Lambda, MLflow</li> <li><strong>Orchestration</strong>: Airflow on AWS</li> <li><strong>Collaboration &#x26; AI Tools</strong>: GitHub Copilot, ChatGPT</li> </ul> <h2>Benefits</h2> <p><strong>🎁 What You’ll Get</strong></p> <ul> <li><strong>Permanent full-time</strong> contract (no B2B)</li> <li><strong>Competitive salary</strong> (€80,000–€100,000) + <strong>Equity</strong></li> <li><strong>30 days</strong> paid vacation</li> <li><strong>All AI subscriptions</strong> with unlimited usage you want</li> <li>New Mac Book Pro &#x26; min. 2 Monitors in the office ;)</li> <li>Regular team events and quarterly off-sites</li> <li>Real ownership and influence</li> <li>A calm, focused work environment that rewards initiative</li> <li><strong>Wellpass membership</strong> to unlimited fitness, yoga, swimming, climbing, and more</li> </ul> <p>We care less about titles and more about impact, so we look forward to talk to you and learn more about:</p> <ul> <li>A <strong>forecasting model</strong> you built and what complexity you dealt with</li> <li>How you currently use <strong>AI in your daily engineering workflow</strong> — concretely, not in theory</li> <li>What <strong>motivates you</strong>, and what kinds of data problems you find genuinely interesting</li> </ul> <p>Find <a href="https://www.arbeitnow.com/">Jobs in Germany</a> on Arbeitnow</a>