Senior Data Scientist (AI Engineering)

• Build predictive machine learning models and use statistical analysis to generate actionable business insights.
• Partner with Commercial, Marketing and Operations stakeholders to identify needs, shape use cases and translate business challenges into effective AI solutions.
• Design, build, evaluate and scale production-ready agentic AI solutions that automate and improve commercial processes.
• Prepare and facilitate AI and data science workshops that turn ideas into concrete digitization opportunities.
• Apply spec-driven development and strengthen standards, best practices and automation across the end-to-end data science and AI workflow.
• Evaluate emerging AI tools, frameworks and architectures and adopt them when they deliver clear business or technical value., Our commitment extends beyond business success - we want our employees to thrive! There are loads of opportunities for skill-building and career development. You are never alone; we have got your back! Whether it is your manager, your team, or colleagues from other departments, they are all here to empower you!

Do you combine strong statistical and machine learning expertise with the ability to build agentic AI solutions from the ground up?, * Proven experience in data science and machine learning, with strong Python and SQL skills and hands-on expertise in statistical analysis and predictive modeling.

• Proven hands-on experience building LLM-based applications or AI agents, with the ability and motivation to develop production-ready agentic solutions.
• Solid understanding of LLM evaluation, retrieval and grounding, hallucination risks, and cost-performance trade-offs.
• Ability to turn business problems into pragmatic, production-ready AI solutions, balancing business value, technical quality and scalability.
• Strong communication and facilitation skills, including the ability to explain complex technical topics to non-technical stakeholders and co-create solutions.
• Strong ownership, initiative and collaborative problem-solving skills, combined with professional proficiency in English.

Nice-to-Have

• Experience with MLOps, data engineering, dbt or comparable data-modeling approaches, solution architecture, Google

• Private pension scheme
• JobRad
• DISH Sports Club including on Campus Gym and Sports Communities
• Corporate Benefits
• Access to METRO stores

You can expect an approximate annual gross salary of 78k if you meet the requirements of this position.

DISH has more than 410k customers across multiple countries, with a diverse team representing over 34 nationalities. Our products range from reservation solutions to payment terminals, providing a broad toolkit for independent, small to medium-sized restaurants to digitize their businesses. With around 200 employees, we work closely with METRO across its countries to transform the HoReCa sector with our innovative solutions., Join our fast-paced environment where we push boundaries and actively challenge ourselves to digitize the HoReCa (Hotel, Restaurant, and Catering) world. By joining DISH, you will directly contribute to our goal of becoming a data-driven company within the METRO Growth Plan., At DISH, you own your projects, regardless of your job level. We encourage you to stand up for your ideas, think outside the box, and always question the status quo. Your unique perspective can make all the difference!, Join an international company with members from over 34 different cultures. Together, we celebrate diversity and respect our multinational backgrounds., DISH was established in 2015 as a wholly owned subsidiary of METRO AG to develop digital solutions that contribute to the success of HoReCa (hotels, restaurants, and caterers). DISH provides competitive solutions for some of the most pressing challenges of the industry. More than 410.000 restaurateurs across 16 countries already use digital solutions of DISH to improve their business performance.