Senior Data Scientist

What you’ll do:

Lead the end-to-end development of ML & GenAI solutions to transform the operations journey, from problem framing and data exploration to production deployment, tackling business challenges with autonomy and scientific rigor;

Set and uphold high technical standards across multiple AI initiatives, ensuring quality, scalability, and consistency;

Mentor fellow DSs and accelerate team learning, providing structure in the way of working, and driving a culture of experimentation and continuous improvement.

What we’re looking for:

Extensive experience (3+ years) in data science or applied machine learning, leading end-to-end initiatives in complex technical domains and delivering measurable business impact through ML and GenAI solutions;

Strong analytical and quantitative mindset, able to translate data into insights, assess model performance, and guide decision-making with evidence and clarity;

Structured problem solver, skilled at framing ambiguous challenges, defining success metrics, and communicating results to both technical and non-technical audiences;

Practical technical experience in coding (strong proficiency in Python and knowledge of coding best practices) and in ML/GenAI (experience with building ML models using frameworks such as scikit-learn and XGBoost, and familiarity with leveraging GenAI LLMs via APIs like OpenAI GPT or Gemini);

Curious and adaptive leader, proactive in exploring new methods, improving processes, and driving innovation in a fast-evolving environment.

Nice-to-Have:

Global mindset: Experience working across countries or multi-market products;

Language skills: Business proficiency in Italian or Spanish, in addition to English.