พื้นฐาน

Senior Data Scientist

Lisboa, Lisbon Metropolitan Area, Portugal บริษัท: Jobio ลูกค้า / นายจ้าง: Sbm Offshore
โพสต์: 22.05.2026
วันปิดรับสมัคร: 06.07.2026
การอ้างอิงงาน: 4de9a921eaf5322d0e220b379b70221c

ข้อมูลงาน

ที่ตั้ง
Lisboa, Lisbon Metropolitan Area, Portugal
บริษัท
Jobio
ลูกค้า / นายจ้าง
Sbm Offshore
การอ้างอิงงาน
4de9a921eaf5322d0e220b379b70221c
ประเภทรายการ
พื้นฐาน
ต้องมีใบอนุญาตทํางานของสหภาพยุโรป
ไม่
โพสต์
22.05.2026
วันปิดรับสมัคร
06.07.2026

รายละเอียดงาน

Imagine your career taking you to the depths of innovation and the heights of impact. Our people enable continuous progress. Their commitment, collective expertise, and unique capabilities are the engine room behind SBM Offshore’s True. Blue. Transition. - shaping the future of energy, and beyond.About Us:SBM Offshore is the world’s deepwater ocean-infrastructure expert. Our work is already resulting in cleaner, more efficient energy production. True. Blue. Transition. is our promise to enable that into the future while at the same time using our expertise to support new and existing markets in the blue economy. It starts with Advancing our Core: continuing to advance the decarbonization of traditional energy production. While Pioneering More: helping to enable the energy transition and using our unique capabilities in ocean infrastructure to support more industries to grow sustainably. Sharing our experience for a better blue tomorrow.Purpose As Senior Data Scientist, you will join the Data Science and Innovation team within the SBM Offshore Digital Development and Innovation.Responsibilities Develop Data Science applications by going through data gathering, data cleaning, data exploration and other necessary activities to construct data sets ready for modeling. Research and implement appropriate data science algorithms and tools, perform statistical analysis, model development, feature engineering and fine-tune models using test results. Evaluate models to assess their performance, ensuring they fully address the functional and technical specifications, and package the model or algorithm as a web-based application. Create data visualization and produce detailed reports summarizing methodologies, analyses and findings to technical and non technical stakeholders. Develop and refine in-house tools for specific data science needs. Understand project requirements and work with the Data Science Lead and IT Project Manager or SCRUM master to accurately estimate man-hours, resource needs, and completion dates for deliverables. Proactively address any performance issues and collaborate with Data engineer, data scientist, developer and the Line Manager to continuously improve team performance. Train and mentor junior team members in data science techniques and best practices by providing advanced expertise in statistical, mathematical and application development concepts, helping prioritize and define their tasks to effectively manage conflicting deadlines and meet key milestones and deliverables.Education Master's degree in Data Science, Computer Science, Applied Mathematics, or a similar field is required. Deep knowledge of machine learning frameworks and libraries, as well as the ability to write robust code in Python, is essential. Familiarity with cloud environments and Azure DevOps is a plus. Proficiency in time series processing and analysis is expected. Ability to work in an Agile and DevOps environment is crucial. Fluent in spoken and written English is required for effective communication.Experience Minimum of 2 years of proven experience as a Data Scientist,Functional Competencies Governance, Risk and ControlAnalytics and reportingIT Tools and applicationInspection, testing, commissioning and monitoringDigital savvyManagement of change applicationInnovationPlanningTechnical Data Management GENERAL INFORMATION SBM Offshore N.V. is a listed holding company that is headquartered in Amsterdam. It holds direct and indirect interests in other companies that collectively with SBM Offshore N.V. form the SBM Offshore Group (“the Company”). For further information, please visit our website at www.sbmoffshore.com. The companies in which SBM Offshore N.V., directly and indirectly, owns investments are separate entities.SBM Offshore is proud to be an Equal Employment Opportunity and Affirmative Action employer. SBM Offshore does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

ทักษะ

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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