Responsibilities
- Contributing to the development of the web version of the data science tool in R/Shiny.
- Contributing to the development of the desktop version of the data science tool in Python.
- Write clean and maintainable production-level code, including tests; the tech stack we work with includes: R, Shiny, Plotly, GIT, Azure,Python, TensorFlow.
- Developing and improving functionality of the tools
- Work closely with the customer and the Product Owner day-to-day
- Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.
- Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience
- Learning new engineering practices, technologies and continuously improving our Agile practices
Required Skills and Experience - MSc or equivalent in Statistics, Mathematics, Econometrics, Data Science or similar discipline with at least 2 years’ experience on data science projects.
- Experience in general linear modelling, multivariate analysis, statistical modelling, and preferred additional knowledge of time series modelling, machine learning.
- A practical common sense approach to problem solving and attention to detail.
- Good software and data engineering capabilities
- Strong interpersonal skills and enthusiasm for team work, as well as the ability to work independently.
- High standards of code quality, making use of version control tools.
- Proficiency in statistical software packages such as R, Python.”
Experience: 5-6yrs