Associate Data Scientist
ClanPortugal4 days ago
Full-timeRemote FriendlyEngineering, Information Technology
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Descrição da Empresa
Através do Clan, é possível realizar de forma 100% digital todos os passos da jornada dos profissionais. Junta-te a nós e liga-te ao emprego em clan.pt
Descrição da Função
Descrição Are you passionate about data, technology and innovation ? Do you want to be part of a global company transforming the tobacco industry into a smoke-free future ? Join Tabaqueira (Philip Morris International) in Portugal as an Associate Data Scientist and help shape the next generation of data-driven solutions ! Responsabilidades - To collaborate with cross-functional teams to develop data science solutions that solve real business problems; - To analyze and visualize large datasets to extract insights that drive strategic decisions; - To build and test machine learning models to predict trends, optimize processes and improve customer experiences; - To support the development of advanced analytics platforms and share best practices across teams; - To conduct Proof of Concept (PoC) and Proof of Value (PoV) projects to test new ideas and demonstrate business impact. Requisitos - Bachelor’s degree in Computer Science, Data Science or related fields; - Strong experience and proficiency in Python programming; knowledge of R is a plus; - Experience with SQL and familiarity with data structures, OOP and cloud platforms (AWS preferred); - Experience in data visualization (matplotlib, seaborn, plotly) and data management (pandas, numpy, scipy); - Fluent English (spoken and written); - Understanding of statistics, probability, and machine learning algorithms (classification, regression, clustering); - Knowledge of version control (git) and testing practices; - Familiarity with LLM frameworks (LangChain, LangGraph) is a plus; - Strong analytical thinking, problem-solving skills and teamwork orientation. Condições - Permanent contract with the cliente; - Salary commensurate with experience; - Life & health insurance and employee pension plan; - Flexible hybrid working model; - Opportunities for growth and international career development; - Collaborative, innovative and diverse work environment.
Localização
Através do Clan, é possível realizar de forma 100% digital todos os passos da jornada dos profissionais. Junta-te a nós e liga-te ao emprego em clan.pt
Descrição da Função
Descrição Are you passionate about data, technology and innovation ? Do you want to be part of a global company transforming the tobacco industry into a smoke-free future ? Join Tabaqueira (Philip Morris International) in Portugal as an Associate Data Scientist and help shape the next generation of data-driven solutions ! Responsabilidades - To collaborate with cross-functional teams to develop data science solutions that solve real business problems; - To analyze and visualize large datasets to extract insights that drive strategic decisions; - To build and test machine learning models to predict trends, optimize processes and improve customer experiences; - To support the development of advanced analytics platforms and share best practices across teams; - To conduct Proof of Concept (PoC) and Proof of Value (PoV) projects to test new ideas and demonstrate business impact. Requisitos - Bachelor’s degree in Computer Science, Data Science or related fields; - Strong experience and proficiency in Python programming; knowledge of R is a plus; - Experience with SQL and familiarity with data structures, OOP and cloud platforms (AWS preferred); - Experience in data visualization (matplotlib, seaborn, plotly) and data management (pandas, numpy, scipy); - Fluent English (spoken and written); - Understanding of statistics, probability, and machine learning algorithms (classification, regression, clustering); - Knowledge of version control (git) and testing practices; - Familiarity with LLM frameworks (LangChain, LangGraph) is a plus; - Strong analytical thinking, problem-solving skills and teamwork orientation. Condições - Permanent contract with the cliente; - Salary commensurate with experience; - Life & health insurance and employee pension plan; - Flexible hybrid working model; - Opportunities for growth and international career development; - Collaborative, innovative and diverse work environment.
Localização
- Rio de Mouro, Portugal
Key Skills
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