What you'll be doing :
- Lead data science projects from design, exploration, prototype and production implementation.
- Test novel clinical and digital interventions to understand our patient health needs, their behavioral tendencies and how to improve patient recovery.
- Leverage advanced programming and processing of large datasets.
- Work alongside with data scientists, data engineers and data analysts in complex analysis and in deploying designed and well-tested ML models into practice, helping to build appropriate frameworks to test and monitor ongoing model performance.
- Provide methodological, statistical, design and analytical feedback for new and ongoing operations / applied research projects.
- Work and collaborate with internal stakeholders (Finance, Marketing, Product, Clinical operations) to develop strategies and data science products to solve real world problems.
What you need to have:
- 2+ years of experience in Data Science roles;
- Previous Experience using descriptive and inferential statistics in the context of a product;
- Previous Experience using machine learning to derive insights and find patterns in the data;
- Working knowledge of SQL as well as statistical packages (such as those in Python or R);
- Excellent communication skills and able to communicate their findings with different stakeholders, including those who are non-technical from other teams;
- Experience in solving complex business problems with data, being able to use complex tools and techniques ;
- Previous experience in working independently and taking ownership of projects.
What we would love to see:
- Experience with irregular time-series/event data;
- Experience in working with cloud platforms;
- Genuine curiosity that drives you to experiment and try new things.
0 applies
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