Data Scientist

TECNOMATRozzano, SegrateJob.bopublished 08/11/2026
Must-have:PythonGitGoogle CloudCloudDataAI
Nice-to-have:DockerDevOpsCI/CD
Machine translation — original language: Italian.Show original

Tecnomat, with its over 30 stores, is the leading company in Italy in the sale of professional technical products for everyday use and finishing for the maintenance, renovation, and construction of the habitat.

WHAT CHARACTERIZES US

Customer attention and an informal environment are the keys to our success. Sharing a clear project promotes teamwork through personal initiative and autonomy. We create a positive spiral between our satisfaction, that of the customer, and that of the territory where we contribute to generating a positive impact on the environment and communities. Would you like to be part of this project?

With the goal of growing the data-performance team, created to support sales, decision-making processes regarding stores, and to spread a data-oriented culture, we need to hire a:

DATA SCIENTIST

We work closely with business stakeholders to understand their objectives and define how data can achieve them, applying mathematical and statistical approaches and AI solutions. We transform ideas and needs into prototypes to test and iterate, collaborating side by side with the Data Engineering and Software Development teams to release solid solutions capable of generating a real impact. By joining the team, your responsibility will be to translate business needs into the most effective analytical approaches, making data true decision-making levers.

Your main objectives will be:

  • develop operations research / mathematical optimization solutions, following their entire life cycle: mathematical formalization of the problem, choice and implementation of the most suitable approach (Linear/Mixed integer programming, heuristic and meta-heuristic algorithms), presentation of results, and production monitoring
  • monitor and evolve existing internal Operations Research solutions, intervening in key decision-making areas such as staff shift planning and logistics flow optimization
  • develop end-to-end Machine Learning models, from task definition and exploratory analysis to validation and presentation, with a particular focus on Time Series Analysis / Forecasting and Regressions
  • write clean, modular, efficient, and documented Python code in a collaborative mindset
  • acquire a solid mastery of the Tecnomat data architecture to speed up information retrieval and collaborate with the Data Engineering team on the design of data models aimed at exposing and making the results of Data Science and Optimization solutions easily usable

You will also have the opportunity to:

  • engage with Generative AI use cases: participate in projects on SEO-oriented content optimization, development of Evaluation, Monitoring, and Feedback Loop systems for GenAI solutions in production or under development
  • generate strategic impact on corporate data: use statistical and quantitative skills to extract patterns from key financial indicators, supporting internal stakeholders in strategic analyses related to stock evolution, cash flow optimization, and business performance.

IT IS THE RIGHT OPPORTUNITY FOR YOU IF

  • you have a degree in mathematical-statistical subjects or equivalent qualifications
  • you have 2-3 years of experience in similar roles and a solid theoretical and practical foundation in Operations Research
  • you have a strong passion for applied mathematics, particularly for Operations Research and machine learning
  • you have a passion for programming and possess solid knowledge of Python
  • you have previous knowledge in querying databases (SQL), versioning tools (Git), and familiarity with Cloud environments (Google Cloud Platform)
  • knowledge of DevOps / MLOps, containerization (docker), restful APIs, ci/cd constitutes a plus
  • you are characterized by an excellent ability to read the business context and strong interpersonal skills
  • you love teamwork, are curious, and have a spirit of initiative
  • you nurture a strong curiosity for the retail world and wish to apply a data-driven approach to optimize store management
  • you have a good knowledge of the English language.

WHAT WE HAVE THOUGHT FOR YOU

  • direct exposure to a wide range of technical and strategic problems where you can make a difference
  • the opportunity to build practical and effective AI systems, collaborating and sharing solutions within the international ecosystem of the ADEO Group
  • access to AI-assistant tools (Gemini, Github Copilot) and time dedicated to experimentation and exploration of new technologies and approaches
  • a continuous training plan, in class, on the job, and digitally, also thanks to a dedicated platform
  • a corporate welfare plan ranging from a health insurance plan to online psychological support
  • a portal of dedicated agreements, ranging from car rental and travel to leisure time
  • moments where we celebrate successes and important events because the milestones reached are the result of everyone's commitment
  • an informal working climate, where everyone is welcomed and valued in their uniqueness.

WHAT WE OFFER

  • an indefinite contract, CCNL DMO with classification and remuneration commensurate with your experience
  • 40% smart working
  • flexible entry/exit
  • bonuses linked to the quarterly progress of economic results and the annual result of the company, developed thanks to the contribution of everyone and teamwork, accessible from the seventh month of employment.

Work location: Hybrid/Segrate (MI)

At Tecnomat, we live in mutual respect, in a spirit of teamwork, and in inclusion as a way to make our company a valuable community. We train every new colleague on our Code of Ethical conduct, to be transparent and consistent in the way we "be" together. We encourage people to be themselves and fuel awareness on the themes of diversity, equity, and inclusion, through continuous training.

The search respects d.lgs. 198/2006 and is open to people of any sexual orientation or gender expression.

For any support request, contact us at: selezione@tecnomat.it