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Data Scientist Specialist
2 weeks ago
We are seeking a talented Senior Data Scientist to join our dynamic team at Network IT. As a key member of our data science and analytics team, you will play a crucial role in developing and implementing data-driven solutions to drive business growth and improve patient outcomes.
About the Role:The successful candidate will be responsible for determining cutting-edge data science methods that can be used to all company predictive analytics products. They will assist with data science trends research, particularly for applications in the healthcare sector. The ideal candidate will involve business stakeholders in the discovery phase to pinpoint the opportunity or business challenge, gather requirements, and discuss the anticipated results of modeling and solutions.
- Determine and evaluate cutting-edge data science methods that can be used to all company predictive analytics products.
- Help with data science trends research, particularly for applications in the healthcare sector.
- Involve business stakeholders in the discovery phase to pinpoint the opportunity or business challenge, gather requirements, and talk about the anticipated results of modeling and solutions.
- Collaborate with industry stakeholders to identify solutions for addressing important business issues and concentrate on creating fresh business plans.
- Help in creating conceptual models or designs to meet corporate needs.
- Work along with subject matter specialists to identify pertinent data sources and comprehend business needs to guarantee that the models are supplied in a suitable way.
- Examine and revise all data science-related policies.
- Present trends, correlations, and patterns uncovered in complex datasets in a way that succinctly and clearly conveys significant insights and supports recommendations to business people in a variety of roles and skill levels.
- Degree (Honours, Masters or PhD) in Statistics, Computer Science, Engineering, Mathematics and / or a combination of these.
- Relevant data science certifications such as Python, Microsoft, AWS, Hadoop, big data, machine learning, cloud infrastructure.
- Minimum of 5-6 years' experience in data science related projects.
- Experience with Python/Microsoft ML and tools available within the machine learning ecosystem (i.e. Numpy, Pandas, Matplotlib, SciPy stack) and working in Jupyter notebooks.
- Experience with SQL and working with large-scale data sets.
- Knowledge and practical experience applying machine learning techniques.
- Experience working in agile development teams.
- Experience in operationalising data science solutions or similar product development.
- Experience in a high-scale production environment is critical.