Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop end-to-end machine learning solutions for time-series applications, validate models, and implement ML pipelines on cloud platforms.
Job Technologies
Your role in the team
- You support and implement end-to-end machine learning projects for our clients, 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, ranging 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 assist in building robust, scalable, and maintainable ML pipelines and contribute to deploying models in production environments on modern cloud infrastructures such as Azure, AWS, or GCP.
- You regularly collaborate with stakeholders and client representatives, ensuring close coordination within the project.
- You collaborate 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 areas of forecasting and applied machine learning.
This text has been machine translated. Show original
Our expectations of you
Education
- You have completed a Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, Business Informatics, or a comparable program.
Qualifications
- You have very good Python skills and are confident 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 apply this to model validation, interpretation, causal analyses, and deriving business-relevant insights.
- Initial contact 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 across various industries.
- 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 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 clients on-site in Germany, Austria, and Switzerland.
Experience
- 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 initial practical experience in the field of time series forecasting with statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST.
- Ideally, you have some experience with cloud platforms, MLOps concepts, or deploying models in production environments.
This text has been machine translated. Show original
What we offer
- You can expect diverse and challenging projects with renowned clients from various industries - ranging from data-driven solutions to innovative AI applications.
- You work on complex, varied issues and continuously expand your expertise in your field as well as in the Data & AI environment.
- We promote your methodological, professional, and personal development through regular feedback, individual support, training opportunities, and our mentoring program.
- You can expect an open, diverse, and appreciative working environment with flat hierarchies, short decision-making processes, and a strong team spirit.
- We embrace an iterative, modern work culture with clear communication, personal responsibility, and room for new ideas and opportunities for shaping our work.
- We offer fair, structured, and transparent salary levels that are regularly adjusted to market and performance developments.
- Our modern office in Frankfurt is your central workplace - at the same time, you have the opportunity to work remotely on a regular basis and work up to four weeks per year from abroad within the EU.
- Benefit from a discounted Germany ticket and reduced access to sports and wellness offers via Wellpass.
- High-quality IT equipment (e.g., MacBook Pro), regular team events, as well as additional benefits such as childcare subsidies and attractive employee discounts, complete your overall package.
This text has been machine translated. Show original
Topics that you deal with on the job
Job Locations
This is your employer
STATWORX GmbH
Statworx GmbH provides comprehensive services in data and AI consulting and is headquartered in Frankfurt am Main.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
Junior Machine Learning Engineer
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
