As a AWS Data Scientist, you will play a key role designing and implementing data science infrastructure, machine learning models, algorithms, and statistical analyses to extract insights from large datasets in the cloud.
You will work closely with clients to understand their data needs and provide customised solutions using the latest AWS technologies. You will have considerable experience working on data-related solutions using AWS and will be comfortable working with technical resources including data analysts, data engineers and other data scientists, to enable customers to generate insight from their data.
You will relish the opportunity to innovate, evolve and test existing assumptions and design bold solutions. Your experience with large-scale data challenges and ability to create reliable, scalable cloud-based solutions, will see you thriving in this role!
Expectations:
- Work with clients to understand their data needs and identify opportunities for analytics and ML solutions.
- Enjoy honing your data-related analysis skills and developing new ones, so you can make strong contributions to solution discussions.
- Have a demonstrated ability to think strategically about solutions to business, product, and technical challenges.
- Build predictive models using machine learning techniques such as regression, classification, clustering, and time series analysis.
- Continuously monitor and improve the performance of data models and algorithms.
- Collaborate with data engineers to design and implement data pipelines and workflows.
- Be dynamic, creative, and willing to take on challenges that have the potential to make a big impact.
- Regularly take part in further education and training to help you hone and extend your data science and analytical skills.
- Relish a ground floor opportunity to work in a small, agile, friendly startup environment.
- An AWS Associate Solutions Architect or any ML specialty certification is a bonus.
