Your tasks

Focus: Development and implementation of machine and deep learning projects in the areas of time series forecasting, tabular machine learning and causal inference.

• You will support and implement end-to-end machine learning projects for our customers, focusing 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, from classical statistical methods to modern machine learning and deep learning approaches.
• You use statistical and causal thinking to solve complex business problems and employ methods such as controlled experiments, uncertainty quantification, and decision optimization.
• You will support the development of robust, scalable, and maintainable ML pipelines and contribute to the deployment of models in production environments on modern cloud infrastructures such as Azure, AWS, or GCP.
• You work regularly with stakeholders and customer representatives and ensure close coordination within the project.
• You will work with experienced consultants, data scientists and engineers across various industries and use cases, continuously developing your technical and consulting skills.
• Depending on your experience, you will gradually take on responsibility for individual work packages, contribute to proposals, and support the further development of internal best practices in the area of ​​forecasting and applied machine learning.

Your profile

• You have a completed Bachelor's or Master's degree in a quantitative subject such as Data Science, Statistics, Mathematics, Economics, Computer Science, Business Informatics or a comparable course of study.
• You have gained initial practical experience in the field of data science, for example through internships, working student positions or one to three years of professional experience in a relevant environment.
• You have very good Python skills and are proficient in using modern tools and libraries for data analysis, machine learning and software development.
• You have a solid foundation in machine learning and statistics and can use this for model validation, interpretation, causal analysis, and the derivation of business-relevant insights.
• You have initial practical experience in the field of 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.
• Prior experience with modern Time Series Foundation models such as TimesFM, Chronos or Moirai is advantageous.
• You are interested in applying forecasting, anomaly detection, and decision optimization approaches in probabilistic and causal contexts to various industries.
• Ideally, you have initial experience with cloud platforms, MLOps concepts, or the deployment of models in production environments.
• You have strong communication skills and very good German skills at least at B2 level, as well as excellent English skills at C1 level or higher.
• You work in a structured manner, are curious and proactive, and are motivated to develop yourself further in a consulting environment.
• You enjoy occasional business trips to visit customers on-site in Germany, Austria and Switzerland.

This is what we offer you

• Data & AI at its core: You can expect diverse and challenging projects with renowned clients from various industries – from data-driven solutions to innovative AI applications.
• Professional diversity & development: You work on complex, varied issues and continuously expand your expertise in your field as well as in the area of ​​Data & AI.
• Professional development: We support your methodological, technical and personal development – ​​through regular feedback, individual support, further training opportunities and our mentoring program.
• Culture & Collaboration: You can expect an open, diverse and appreciative work environment with flat hierarchies, short decision-making processes and a strong team spirit.
• Modern working methods: We cultivate an iterative, modern work culture with clear communication, personal responsibility, and space for new ideas and design opportunities.
• Transparent compensation: We offer fair, structured and comprehensible salary levels that are regularly adjusted to market and performance developments.
• Flexible working: Our modern office in Frankfurt is your central workplace – at the same time you have the option to work remotely on a regular basis and to work from other EU countries for up to four weeks per year.
• Mobility & Health: Benefit from a discounted Germany ticket and reduced-price access to sports and wellness offers via Wellpass.
• Equipment & Extras: High-quality IT equipment (e.g., MacBook Pro), regular team events, and additional benefits such as childcare subsidies and attractive employee discounts round off your overall package.

Your application

Simply apply using the application form and attach your current CV, including a description of your methodological skills. We will then get back to you promptly. If you have any questions about your application, you can reach us at jobs@statworx.com.

What's particularly important to us: We value the uniqueness of every individual and always treat each other with respect. Diverse backgrounds, perspectives, and ideas enrich us and form the basis of our success. Therefore, we welcome every application – regardless of gender, nationality, ethnic and social origin, religion, worldview, disability, age, or sexual orientation and identity.