Data Scientist

Duties:

• Develop, maintain, and document software components using Python, C/C++, and Bash in accordance with established coding standards.
• Create and maintain unit tests, component tests, and integration tests, and perform developer testing.
• Review datasets, annotations, and labels for quality, completeness, and consistency, and document identified issues.
• Create and validate synthetic data for operator training and algorithm training, ensuring suitability, quality, and correct labeling for the intended use.
• Maintain and improve Jenkins CI pipelines, including investigating and resolving build and test failures.
• Maintain build scripts, software dependencies, configurations, development tools, and the team’s software stack.
• Investigate software defects, implement corrective actions, and verify that issues have been resolved.
• Participate in code reviews and follow established version control, integration, documentation, and release processes.
• Contribute to the continuous improvement of Machine Learning development standards, workflows, and deployment practices.
• Collaborate closely with software engineers, data scientists, product manager, product owner and other stakeholders to deliver impactful solutions.Qualifications
• Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, or a related discipline.
• Ability to write robust code, using programming languages such as Python, C, and/or C++.
• Familiar with Linux scripting, debugging and OS configuration.
• Experience using modern container techniques like docker and Kubernetes.
• Experience with Machine Learning frameworks and libraries such as PyTorch.
• Knowledge of data structures, data modelling, and software architecture principles.
• Solid foundation in mathematics, probability, statistics, and algorithm design.
• Familiarity with open-source tools, technologies, and development environments.
• Ability to design, develop, and maintain data pipelines and Machine Learning solutions.Skills and Experience:
• A self-starter with the ability to manage your time effectively, keen attention to detail and use your own initiative.
• Effective communication skills at all levels of the organization and collaborative abilities.
• The ability and motivation to persistently pursue and achieve effective results which drive the business forward.
• Collaboration and influencing with a Global mindset, cultural awareness.
• Proven matrix and stakeholder management skills/experience working virtually in diverse teams.
• The ability to make effective, timely decisions in a complex, global market by sourcing and analysing critical information.
• The understanding and recognition of the organisation’s commercial environment and positioning themselves, their role and their actions in order to support the organisation’s commercial success.
• The ability to engage, challenge and work effectively with others.
• The ability to build an effective network of relationships both internally and externally, understanding their customers’ needs.
• Willing and able to identify and support change and continuous improvement in own and wider business environment.
• Effective communication skills at all levels of the organization and collaborative abilities.Professional competencies:
• Strong analytical thinking and problem-solving capabilities.
• Ability to work effectively both independently and as part of a multidisciplinary team.
• Excellent written and verbal communication skills, with fluency in English.
• Strong organizational skills with the ability to manage multiple priorities and deliver results in a timely manner.
• Self-motivated and proactive, demonstrating initiative, attention to detail, and a continuous improvement mindset.
• Ability to communicate and collaborate effectively with stakeholders at all levels of the organization.
• Demonstrated ability to influence, collaborate, and build relationships across diverse, global, and multicultural teams.
• Sound decision-making skills, with the ability to analyse complex information and make timely, data-driven recommendations.
• Commercial awareness and understanding of how individual contributions support broader business objectives.
• Ability to engage constructively, challenge assumptions, and work effectively with internal and external stakeholders.
• Strong networking and relationship-building skills, with a customer-focused approach.
• Commitment to driving change, innovation, and continuous improvement across the organization.
• Ability to work effectively in cross-functional and matrix-based environments.
• Comfortable operating in an international and multicultural business environment.