
Senior Data Scientist
- Dublin
- Permanent
- Full-time
- Be an independent thinker and advocate of data science methods and applications
- Research, develop and apply new innovative analytics methods and technologies from other domains to healthcare data
- The ability for critical thinking outside your immediate sphere of responsibility
- Work with autonomy and in partnership with other Data Scientists to find solutions to complex problems
- Leverage technical / analytical expertise across the enterprise to architect, deploy and oversee analytics and technology solutions
- Prototype new products and solutions that have the capability to transform the industry
- Ability to articulate and paint a vision, with strong communication and presentation skills, as well as strengths in translating highly complex concepts, results, models and technologies in ways that can be understood by a variety of audiences
- Be familiar with the state-of-the-art around big data analytics and associated technologies and techniques
- Have experience with Commercial environments and/or Products (not just internal focused)
- Be a leader for a variety of projects including proofs of concept, new product / component development, and reengineering initiatives among others.
- Work as part of a small team, sharing ideas and contributing to the strategic goals
- Undergraduate Degree in engineering/computer/statistics
- Experience in analytics / data science in a business or academic context
- Demonstrated experience using programming to solve complex technical problems
- Demonstrated experience accessing data from various data environments
- Masters Degree or PhD in a technical field (e.g. computer science, science, engineering, math / stats, physics etc.)
- Core knowledge of statistics, machine-learning and numerical / computational methods with experience in the application of these methods to business problems
- Extensive programming experience with Python/Pyspark or other analytics languages
- Experience working within a software development team and using version control systems such as Git..
- Experience of large-scale distributed computing environments (Hadoop, Hive, Databricks etc)
- Experience developing analytical solutions on cloud computing platforms i.e. Azure
- Experience applying deep learning methods to business problems using TensorFlow, Keras, etc.
- Experience with supervised and unsupervised learning methods for model build and deployment
- Experience applying computational algorithms and statistical methods to structured and unstructured data
- Experience of the US Healthcare sector