(Senior) Consultant Data Science Time-Series & Forecasting (w/m/d)

• Employment type Permanent
• Topic Data Science
• Experience experienced

About us

statworx is a leading consulting and development company for data and AI, based in Frankfurt am Main. We offer strategic consulting for medium-sized businesses and global corporations. We develop innovative data and AI solutions across all business areas and corporate functions. We empower people at all levels of expertise with our data and AI education formats. In short: We support companies in all aspects of digital transformation – for over 10 years, in more than 500 data and AI projects, and for over 100 clients from almost all industries.

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.

Responsibilities

• As both a (Senior) Consultant and a Developer, you will work independently on a variety of data science projects for our major customers.
• You will lead and execute data science projects with a focus on time-series data, such as forecasting, predictive maintenance, and anomaly detection.
• You will design and implement advanced time-series models by applying a variety of machine learning techniques, from traditional statistical approaches like ARIMA to cutting-edge deep learning architectures such as LSTM and transformers, along with other state-of-the-art methodologies.
• Consequently, you will have close contact with various stakeholders and representatives of our customers on a regular basis.
• You will act as a project developer, subject matter expert, or technical lead and deal with various use cases, e.g., demand forecasting for supply chain optimization, predictive maintenance using time-series sensor data, or fine-tuning multi-horizon forecasting models to enhance accuracy and efficiency.
• As part of your work, you will implement robust, extensible, and performant ML pipelines according to current ML Ops best practices, working on different infrastructures (Azure, AWS, GCP).
• Furthermore, you will support the development of our offering portfolio and participate in the acquisition of projects alongside our sales team.

Your profile

• You have a degree in a quantitative field such as Data Science, Statistics, Economics, Mathematics, Computer Science, or a related discipline.
• You bring over 3 years of professional experience in data science, with a strong focus on time-series analysis and forecasting.
• You have solid expertise in Python (and R) for data analysis and model development (experience with libraries such as scikit-learn, PyTorch, darts, neuralforecast, statsforecast, or similar).
• You bring knowledge of, and ideally hands-on experience with, state-of-the-art models such as Transformer-based models, Recurrent Neural Networks (including LSTM variants), foundation models for time series, as well as advanced techniques like hierarchical reconciliation, cold-start problems, advanced normalization strategies, and attention mechanisms.
• You have experience working with cloud platforms (e.g., Azure, AWS, or GCP) and preferably have experience in deploying models successfully into production environments.
• You are a strong communicator and possess very good German and English skills (at least C1 level).
• Ideally, you have experience presenting insights and solutions to business users and a keen interest in understanding business processes to align technical outcomes with organizational needs.
• Additionally, you are open to occasional business trips to visit our clients on-site in DE/AT/CH.

Our offer

• Working on exciting future-oriented topics with cutting-edge technologies in the fields of Data Science, Machine Learning, and AI.
• Tackling technically complex questions, working on diverse projects, and experiencing a steep learning curve.
• Extensive methodological and personal development opportunities, including regular internal and external training opportunities and an individual training budget.
• Flat, team-based hierarchies and a friendly work atmosphere, with short decision-making processes and an agile work approach, complemented by regular feedback.
• An open, inclusive, equal-opportunity work environment.
• A modern, high-quality furnished office, which invites to exchange ideas and spend time, as well as the possibility to work flexibly from other locations, including up to 6 weeks from other EU countries.
• Reduced public transport ticket (Jobticket Deutschland) and access to a wide range of sports and wellness offers (Wellpass) at a reasonable price.
• And many other benefits, such as Apple IT equipment (MacBook Pro), regular team events, employee discounts, childcare support, free drinks and snacks.

Your application

Apply via the application form and upload your current CV including a description of your software and methodological skills. Afterwards, we will then contact you as soon as possible. If you have any questions concerning your application or our vacancies, you can reach us by telephone at +49-(0)69 6783-0676-5 or via

What is particularly important to us is that we value the uniqueness of each individual and always treat each other as equals. Diverse 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, as well as sexual orientation and identity.

Does it sound exciting? Apply now!

Learn more!

As one of the leading companies in the field of data science, machine learning, and AI, we guide you towards a data-driven future. Learn more about statworx and our motivation.

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