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Data Insights Specialist
3 weeks ago
As a Senior Data Analyst, you will be responsible for designing and developing analytical models to support projects that improve patient outcomes. You will work with healthcare providers to address their challenges through the use of data and appropriate techniques in Data Science, Optimisation, and Machine Learning.
">Required Skills and Qualifications">- Bachelor's degree in Computer Science, Mathematics, Physics, Statistics, Operations Research, or related quantitative disciplines.
- Master's degree or PhD is an advantage.
- 1-3 years of hands-on experience in data science and machine learning (analyst) or 3-5 years (senior analyst).
- Prior experience in a healthcare setting is advantageous but not required.
Additionally, you must have:
">- A strong understanding of mathematical and statistical foundations of machine learning.
- Fluency in Python and/or R.
- Experience in several skill clusters including data retrieval, data wrangling, data visualization, classical machine learning, deep learning, problem-solving, and communication skills.
Furthermore, you should be able to:
">- Work with incomplete or imperfect data.
- Collaborate with stakeholders to build data analytics capabilities around clinical services.
- Facilitate regular key meetings and reporting to management.
As a Senior Data Analyst, you will have the opportunity to contribute to improving healthcare for patients by working with data to extract insights. You will enjoy a collaborative work environment and have access to resources and training opportunities to advance your career.
">OthersSeniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Hospitals and Healthcare
