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(Senior) Consultant Data Science Time-Series & Forecasting (all genders)

Statworx

Frankfurt am Main permanent

Posted: November 26, 2024

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Quick Summary

We are looking for a Senior Consultant Data Science Time-Series & Forecasting with expertise in data science and AI, with a strong background in time-series analysis and forecasting. The ideal candidate should have experience working with large datasets and be able to develop innovative solutions for clients in various industries. The successful candidate will be working with a team of experts in data science and AI, and will be responsible for developing data and AI solutions for medium-sized businesses and global corporations.

Job Description

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 1000 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.


Your tasks:
• 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
• 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 for data analysis and model development
• 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, 
• You have experience 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), as you will be advising both English-speaking clients and clients who only speak German
• 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 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 [email protected].

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.

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