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Requisiti:
Cosa offriamo:
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We are the Lottomatica Group, leader in regulated gaming in Italy and one of the largest European operators, in all areas of activity: sports betting, online gaming and amusement machines. We offer our customers safe and quality gaming experiences, through all channels, putting responsibility and sustainability at the core of the business. Being in Lottomatica is much more than being part of a company: it means contributing to a great and responsible entrepreneurial project.
We are looking for a profile to join the Operations & Technology Department as Data Scientist.
Main Responsibilities:
• Design, engineer, implement, and document new AI solutions to support business processes.
• Contribute to the development and evolution of the Data Platform in terms of technological, organizational, and process aspects.
• Contribute to the growth of the company's data assets.
• Collaborate with other team members to foster a group organizational culture based on principles of solidarity, pragmatism, effectiveness, and teamwork.
• Maintain, develop, and evolve models currently in production, assuming full management in collaboration with the team.
• Design, implementation, industrialization, maintenance, and monitoring of machine learning pipelines and virtual agents capable of supporting the transformation of business processes.
• Direct contact with internal customers to evaluate results and gather development requirements.
Requirements:
• Degree or diploma in science/computer science/statistics, or proven experience in data processing and the application of statistical/mathematical/machine learning models.
• In-depth knowledge of machine learning and AI algorithms (LLM, tree models, NLP, clustering, neural networks, time series, etc.).
• Knowledge of data analysis and preprocessing mechanisms and feature engineering for machine learning projects (streaming and batch).
• Coding and debugging skills in Pyspark and Python, and therefore knowledge of the main machine learning libraries and frameworks, especially Spark and MLib, as well as MLflow, Dataframe, PyTorch, TensorFlow, Numpy, Pandas, ScikitLearn, etc.
• Expertise in data modeling, statistical experiment modeling, and general knowledge of quantitative methods.
• Proven experience designing, implementing, and industrializing integrated AI solutions.
• Ability to analyze business problems, data, and context. Ability to perform hypothesis testing, model comparison, and result interpretation and validation.
• Good knowledge of English.
Preferred qualifications:
• Knowledge of Databricks
• Git for code versioning and basic devops
• Knowledge of Azure services
• Knowledge of Power BI
What you will find in Lottomatica:
* Opportunity to work in the largest betting and gaming company in Italy and one of the largest in the world;
* Work in a very dynamic environment and improve your skills while acquiring new ones;
* Being challenged to provide impactful solutions for large organisations and have a direct impact on their employees;
* Opportunity to participate in charity, legality and responsibility projects through engagement in Fondazione Lottomatica;
* A defined corporate DNA model in which Inclusion, Value of Diversity, Excellence and Collaboration are the pillars;
* Being part of the world's number one company in the industry for ESG commitment;
What we offer:
* Permanent contract and hybrid job opportunities;
* Company laptop;
* Ongoing training on hard skills and soft skills;
* Gross annual salary commensurate with experience from 43K.
Lottomatica implements a policy that guarantees equal opportunities and promotes diversity and inclusion, against all forms of discrimination. At Lottomatica we believe that each person is unique and we consider diversity as a source of personal and organizational enrichment. We strive every day for ours to be an open, safe and inclusive environment, where each person can be fully himself or herself regardless of gender, religion, sex, age, ethnicity, nationality, disability, marital status or sexual orientation.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Entertainment Providers
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