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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 Control Analytics and reporting IT Tools and application Inspection, testing, commissioning and monitoring Digital savvy Management of change application Innovation Planning Technical Data ManagementGENERAL 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 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.
