Senior Machine Learning Engineer – Time Series & Forecasting (w/m/d)

• You develop and deploy machine learning solutions for forecasting, anomaly detection, and predictive maintenance
• You design robust end-to-end solutions from data preparation and feature engineering to model evaluation and production deployment
• You select and implement the most suitable methods for each use case, ranging from strong statistical baselines to modern machine learning and deep learning approaches
• You regularly collaborate with internal stakeholders and customer representatives to ensure close alignment and effective cooperation
• You contribute to reliable ML engineering and MLOps setups across cloud, on-prem, and production environments and support the integration of models into industrial or production-related systems with constraints such as latency, security, and limited compute resources
• You present solution concepts and handle technical communication with customer representatives during proposal and acquisition phases
• You continuously follow developments in the field of time series and forecasting, including new methods, tools, and research, and apply this knowledge to deliver state-of-the-art solutions

• You have at least five years of hands-on experience in machine learning or data science with a strong focus on time series and forecasting
• You have strong expertise in forecasting and practical experience in anomaly detection, predictive maintenance, or similar sensor-driven use cases
• You have strong Python skills and hands-on experience with libraries and frameworks such as scikit-learn, PyTorch, darts, statsforecast, neuralforecast, or similar
• You have experience applying statistical, feature-based, and modern neural forecasting approaches such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST, as well as newer time series foundation models such as TimesFM, Chronos, TimeGPT, or Moirai
• You have a solid understanding of practical forecasting topics such as multi-horizon forecasting, backtesting, probabilistic forecasting, and ideally hierarchical reconciliation
• Experience with decision optimization such as pricing, replenishment, or resource allocation, or causal-informed decision support such as causal effect estimation, Double ML, or intervention-aware modeling is a strong plus
• You have experience deploying machine learning systems into production and are familiar with software engineering and MLOps practices such as APIs, containers, CI/CD, testing, monitoring, and versioning
• Initial experience with industrial or production-related deployments such as edge or on-prem setups, PLC, SCADA, or MES integration, or working under network, security, or latency constraints is a plus
• You are a strong communicator with very good German skills at least at B2 level and excellent English skills at C1 level or higher
• You enjoy occasional business trips to customer sites in Germany, Austria, and Switzerland

• Data & AI at the core: Work on diverse and challenging projects with leading clients across various industries – from data-driven solutions to innovative AI applications
• Professional variety & growth: Tackle complex, multifaceted questions and continuously expand your expertise in your field as well as in the broader Data & AI landscape
• Continuous development: We support your methodological, professional, and personal growth through regular feedback, tailored learning opportunities, training formats, and our mentoring program
• Culture & collaboration: You’ll be part of an open, diverse, and respectful work environment with flat hierarchies, short decision-making paths, and a strong sense of team spirit
• Modern ways of working: We embrace an iterative, modern work culture based on clear communication, ownership, and room for new ideas and creative freedom
• Transparent compensation: We offer fair, structured, and transparent salary bands that are regularly reviewed and aligned with market and performance developments
• Flexible work setup: Our modern Frankfurt office serves as your main workplace – while giving you the flexibility to work remotely on a regular basis and up to four weeks per year from within the EU
• Mobility & well-being: Benefit from a subsidized Germany Ticket and discounted access to sports and wellness offerings through Wellpass
• Equipment & extras: High-quality IT equipment (e.g., MacBook Pro), regular team events, childcare support, and attractive employee discounts complete your package

Simply apply via the application form and attach your current CV including a description of your methodological skills. We will contact you as soon as possible. If you have any questions on your application, you can reach us at jobs@statworx.com.

What is particularly important to us is that we value the uniqueness of each person and always treat each other as equals. Different backgrounds, attitudes and ideas enrich us and form the basis of our success. That's why we welcome every application - regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, or sexual orientation and identity.