for a digital services platform dedicated to helping companies access world-class software engineering and product talent.
- Working closely with the business to identify issues and use data to propose solutions for effective decision making.
- Building algorithms and designing experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization.
- Using machine learning tools and statistical techniques to produce solutions to problems.
- Testing data mining models to select the most appropriate ones for use on a project.
- Maintaining clear and coherent communication, both verbal and written, to understand data needs and report results.
- Creating clear reports that tell compelling stories about how customers or clients work with the business.
- Assessing the effectiveness of data sources and data-gathering techniques and improving data collection methods.
- Horizon scanning to stay up to date with the latest technology, techniques and methods.
- Conducting research to develop prototypes and proof of concepts.
- Looking for opportunities to use insights/datasets/code/models across other functions in the organization (for example in the HR and marketing departments).
R Language, Python, SQL, Tableau, Project Management, Machine Learning, Deep Learning, Statistics, Data Science