Senior Data Scientist
Skills
Artificial IntelligenceBusiness InsightsData ModelingData ScienceGoogle Cloud PlatformMachine LearningMachine Learning Algorithms
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field
- Proven track record of applying machine learning techniques to real-world business problems, with a focus on predictive modelling, classification, clustering, and recommendation systems
- Hands-on experience working with Google Cloud
- Strong programming skills in Python, along with proficiency in relevant libraries and frameworks
- Demonstrated solid understanding of statistical concepts and methodologies, with the ability to design and interpret experiments
- Excellent communication and collaboration skills, with the ability to convey technical concepts to non-technical stakeholders
Nice to have
- Innovative
- Collaborative
- Effective communicator
- Experienced with Google Cloud
- Strong programming skills
- Solid understanding of statistics
Day to day
- Developing and implementing machine learning models to solve complex business problems and optimise processes
- Collaborating with cross-functional teams to identify opportunities for leveraging data-driven insights to enhance products, services, and operations
- Designing and executing experiments to test hypotheses and validate model performance
- Staying abreast of the latest advancements in machine learning techniques, algorithms, and tools, particularly those offered by Google
- Communicating findings and recommendations to stakeholders at all levels of the organisation, translating complex technical concepts into actionable insights