Asks for

The ad says“You have first hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST”
The ad says“You have first hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST”
The ad says“You have first hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST”
The ad says“You have a strong foundation in machine learning and statistics and understand how to apply it for model validation, interpretation, causal reasoning, and deriving business-relevant insights”
The ad says“You have first hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST”
The ad says“You have first hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST”
The ad says“You have first hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST”
The ad says“You have very good Python skills and are confident working with modern tools and libraries for data analysis, machine learning, and software development”
The ad says“You have a strong foundation in machine learning and statistics and understand how to apply it for model validation, interpretation, causal reasoning, and deriving business-relevant insights”
The ad says“You have first hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST”
The ad says“You have first hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST”
The ad says“You have first hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST”

About us

statworx is a leading Data & AI Consulting and Development company in the DACH region. For more than a decade, we have been helping organizations succeed with consulting, development, and training – delivering over 1,000 successful projects for more than 100 clients across nearly every industry.

From AI strategy to implementation, we develop innovative solutions. With expertise in AI Strategy, Generative AI, Agentic AI, Data & AI Engineering, and AI Infrastructure, we support organizations throughout their entire AI transformation journey.
Our goal: Creating value from Data & AI.

Our AI Development department serves as a facilitator for Data & AI transformation. We are taking a holistic approach, from the initial evaluation of AI maturity, through the design and development of data and AI solutions, to the practical implementation and scaling of AI solutions. Through our deep expertise in Data Engineering, Data Science, Machine Learning, we ensure that our clients gain the maximum value from their data.

Your tasks

Focus: Developing and delivering machine- and deep-learning projects in time-series forecasting, tabular machine learning, and causal inference

You support and deliver end-to-end machine learning projects for our clients, with a focus on time-series and forecasting use cases such as demand forecasting, pricing, anomaly detection, and predictive maintenance
You design, implement, validate, and deploy machine learning models based on tabular and time-series data, ranging from classical statistical approaches to modern machine learning and deep learning methods
You apply statistical and causal reasoning to solve complex business problems, using approaches such as controlled experimentation, uncertainty quantification, and decision optimization across a wide range of industries
You contribute to building robust, scalable, and maintainable ML pipelines and support deploying models into production on modern cloud infrastructures such as Azure, AWS, or GCP
You collaborate closely with stakeholders and customer representatives to ensure alignment and successful project delivery
You work with experienced consultants, data scientists, and engineers across different industries and use cases while continuously developing your technical and consulting skills
Depending on your experience, you gradually take ownership of workstreams, contribute to proposal development, and support the further development of internal best practices in forecasting and applied machine learning

Your profile

You hold a Bachelor’s or Master’s degree in a quantitative field such as data science, statistics, mathematics, economics, computer science, business informatics, or a related discipline
You have gained initial practical experience in data science, for example through internships, working student roles, or one to three years of full-time experience in a relevant environment
You have very good Python skills and are confident working with modern tools and libraries for data analysis, machine learning, and software development
You have a strong foundation in machine learning and statistics and understand how to apply it for model validation, interpretation, causal reasoning, and deriving business-relevant insights
You have first hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST
Exposure to modern time-series foundation models such as TimesFM, Chronos, or Moirai is a plus
You are interested in applying forecasting, anomaly detection, and decision optimization methods in probabilistic and causal settings across a variety of industry use cases
You ideally have first exposure to cloud platforms, MLOps concepts, or deploying models into production environments
You are a strong communicator with very good German skills at least at B2 level and excellent English skills at C1 level or higher and are able to present complex topics appropriately to different audiences
You are curious, proactive, and structured in your way of working and motivated to grow in a consulting environment
You enjoy occasional business trips to customer sites in Germany, Austria, and Switzerland

Our offer

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

Your application

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.