Posted on Nov 6, 2020 by Gazelle Global Consulting
My client is interested in hiring a Data Scientist with a PhD degree and proven experience in Deep Learning.
The Data Scientist will be responsible for designing, implementing, and testing advanced AI solutions for solar energy applications.
The successful candidate will also be responsible for creating Python microservices in Azure, based on these solutions.
- You transform business problems into Data Science solutions by using advanced AI algorithms.
- You design and implement in Python, and test own innovative solutions of business problems.
- You create monitoring models for the existing and future data processing pipelines.
- You develop and maintain documentation on predictive models for developers
- You facilitate the knowledge transfer within the team by creating educational material for developers.
- You provide insights from data to business users.
- You identify future needs and requirements for Data Science applications.
- You are proud owner of a PhD Degree in AI, Machine Learning, Statistics, Operations Research, or a related field.
- You have at least 3 years of professional experience following your PhD.
- You have practical knowledge of Machine Learning algorithms and experience in implementing them.
- You have a practical understanding of both Deep Learning theory and the TensorFlow framework (version 2.0 preferred).
- You consider yourself proficient in Python (and have the track record to prove it).
- You preferably have professional experience outside the academic world.
- You ideally have a portfolio of Data Science projects in GitHub.
- The chance to be part of a fast-growing and future-oriented start-up: we are one of the biggest players in the solar business.
- Help to make the world a bit better: we are all about green energy.
- Direct impact on our corporate success and exciting career opportunities: leave your footprint.
- Close cooperation with the management team while shaping the client's tech DNA: you will be part of our first Tech Team.
For immediate consideration, please send me your CV.