Deine Aufgaben
- Hands-on implementation of Machine Learning use, AI agents to automate business workflows, propensity modelling to roll out marketing campaigns, forecasting for demand prediction and assortment optimization.
- Deploy, maintain, and monitor AI solutions. Design scenarios, schedule jobs to run batch models or APIs for on-demand serving
- Present to technical and or business stakeholders. Prepare and carry out presentations with the key business stakeholders involved in the projects to show the results of ML models to a non-technical audience and how they bring value to the business.
- Gather business requirements from business users and technically implement them to meet the requirements.
- Defining business requirements, Document them, create wire frame, Communicate to Developers, Monitor Development, conduct internal testing and validate every KPI Numbers & Formulas.
- Own and develop relationship with partners, working with them to optimize and enhance our integration.
- Report on common sources of technical issues or questions and make recommendations to product team.
- Communicate key insights and findings to product team.
Was erwarten wir von Dir?
- 4+ years of prior experience in a Data Scientist role
- Strong Data Engineering skills and software development skills
- Expertise in Python and any one of the associated frameworks (scikit-learn, Tensorflow, PyTorch, h2o, etc.) for ML and DL
- Expertise in the concepts of Statistics, Machine Learning and Agent-based AI
- Knowledge in ML-Ops (deployment of models, model performance monitoring, data drift, rest API integration, simulations, etc.)
- At least 3 Machine Learning project implementation experience in production
- Excellent communication and collaboration skills, able to explain complex effects and impacts in simple business terms.
- Knowledge of optimization techniques (OR, MIP, …) is a plus
- Knowledge on DataIku is a plus
Was Du erwarten kannst
Agile company culture and the best team
- Join our international, ambitious, and collaborative teams that value ownership and excellence.
- Structured onboarding for smooth integration.
- Company-wide events (Christmas, Spring, Summer) and regular afterworks.
- Community initiatives and team-driven activities (Football team, Gaming channel).
- Work on challenging projects that accelerate your professional growth.
- Structured mentoring, training, and certification programs.
- Use of agile frameworks combined with established planning and delivery standards.
- Talent Cycle: regular performance reviews, continuous feedback, and clear career paths.
- Hybrid model in our offices in Barcelona, Reus, or Zagreb, or remote from Spain.
- Flexible benefits plan: health insurance, transport, childcare vouchers.
- Remuneration is structured according to benchmarks and evolving market practices, ensuring internal consistency, external competitiveness, and alignment with business performance and professional progression.
- 23 vacation days + December 24th and 31st.
Schließ dich den besten Expert*innen für Cloud Data & AI an. Wir warten auf dich!
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