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Sr Data Scientist - Ops Research - Lisbon

Lisboa, Lisbon Metropolitan Area, Portugal Azienda: Jobio Cliente / Datore di lavoro: Workster Jobs
Pubblicato: 18.05.2026
Data di chiusura: 02.07.2026
Referenze lavorative: 7eb9203d926aad79bdd6beff5c242f87

Informazioni sul lavoro

Posizione
Lisboa, Lisbon Metropolitan Area, Portugal
Azienda
Jobio
Cliente / Datore di lavoro
Workster Jobs
Referenze lavorative
7eb9203d926aad79bdd6beff5c242f87
Tipo di elenco
Base
Permesso di lavoro UE richiesto
No
Pubblicato
18.05.2026
Data di chiusura
02.07.2026

Descrizione del lavoro



Are you passionate about data-driven decision making, optimisation, and excellence in large-scale operations? We are excited to offer a rewarding opportunity for a seasoned Data Scientist with expertise in Operations Research to join our high-impact team in Lisbon. If you thrive on solving complex challenges, enjoy collaborating across disciplines, and are eager to make a tangible contribution to a leading international technology company, we want to hear from you!

Key Responsibilities – Senior Data Scientist Operations Research Careers in Lisbon

  • Design, develop, and implement advanced operations research models and data science solutions to optimise business processes and drive strategic outcomes across multiple business units.

  • Apply statistical analysis, mathematical modelling, machine learning, and simulation techniques to address real-world operational and logistical challenges.

  • Work with cross-functional teams to understand business objectives, gather requirements, and translate them into rigorous, actionable analytical frameworks.

  • Leverage large-scale data sets to deliver insights, create predictive or prescriptive models, and visualise results for a range of stakeholders, including senior leadership.

  • Communicate findings in a clear, concise manner, tailoring technical language for both specialist and non-specialist audiences across the organisation.

  • Collaborate with Engineering and Product teams to deploy analytics models into production and ensure robust, scalable outcomes.

  • Mentor and support less experienced data scientists, fostering a culture of continuous learning and excellence in advanced analytics.

Requirements and Qualifications – Senior Operations Research Data Scientist Jobs in Portugal

  • Master’s or PhD degree in Operations Research, Computer Science, Mathematics, Statistics, Data Science, Engineering, or a closely related quantitative discipline.

  • Significant professional experience (4+ years) as a Data Scientist, Operations Research Analyst, or a related analytics role within a complex environment.

  • Expertise in operations research methods (e.g., optimisation, linear/nonlinear programming, network flows, simulation, stochastic modelling).

  • Strong proficiency programming in Python, R, or similar languages, and using data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, Gurobi, CPLEX, or PuLP).

  • Experience with statistical analysis, machine learning techniques, and data visualisation tools (e.g., Power BI, Tableau, or Matplotlib).

  • Solid understanding of software engineering principles and working knowledge of version control tools (e.g., Git).

  • Excellent problem-solving, communication, and organisational skills.

  • Fluency in English; knowledge of Portuguese is a plus but not required.

Benefits – Operations Research Data Science Opportunities in Lisbon

  • Secure a stable, high-impact position with a renowned technology-driven organisation in the heart of Lisbon.

  • Competitive salary with attractive performance-based bonuses and benefits.

  • Comprehensive private health insurance for your well-being and peace of mind.

  • Robust relocation support for candidates moving to Portugal, including assistance with local registration and accommodation.

  • Access to cutting-edge resources, ongoing professional training, and opportunities for learning new technologies.

  • Work within an inclusive, multicultural team that values innovation, creativity, and diversity of thought.

  • Clear advancement pathways and career progression within the operations research and data science community.

Why Advance Your Operations Research Data Science Career in Lisbon?

  • Be part of a pioneering analytics team influencing impactful decisions and shaping the future of operations in a global business.

  • Engage in continuous learning and exposure to a rich variety of business challenges and technologies.

  • Experience a dynamic team culture that fosters open collaboration, experimentation, and knowledge sharing.

  • Enjoy the unique lifestyle, culture, and international environment that Lisbon offers while advancing your career with a globally recognised organisation.

Next Steps – Apply for Senior Data Scientist Operations Research Roles in Lisbon

If you are eager to shape data-driven strategies, drive operational excellence, and make a significant impact within an international setting, apply now and start your journey as a Senior Data Scientist – Operations Research with us in Lisbon!



Abilità

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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