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

Description

Job Overview

• Source: Arbeitnow
• Location: Hamburg
• Job Type: Full-Time

Job Description

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.

Tasks

🛠 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

Requirements

✅ 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

Benefits

🎁 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

We care less about titles and more about impact, so we look forward to talk to you and learn more about:

• 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

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Expert Career Tips for Senior Data Scientist - Demand Forecasting (f/m/d) Roles

To succeed in a competitive market as a Senior Data Scientist - Demand Forecasting (f/m/d), you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior Data Scientist - Demand Forecasting (f/m/d) requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Hamburg and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Hamburg, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Senior Data Scientist - Demand Forecasting (f/m/d) position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.