Applied Scientist

1 month ago

القاهرة, Egypt Microsoft Full time

We are looking for talented and experienced Applied Scientists to join our expanding teams in Egypt, where you’ll have the opportunity to work on cutting-edge projects as part of the Microsoft AI Organization.

This is an exciting opportunity to participate in the innovation and evolution of the stack, at a scale and pace very few other places can match. The challenges are plenty and the problems are varied from building new features to optimizing components of the entire stack as every millisecond matters to us, to building support infrastructure to run services in containers at scale. You will be part of a passionate and growing team that takes pride in their work. You will own and drive large feature areas and collaborate with some of the best engineers across the world. If you are someone that loves to tackle deep technical challenges and thrive in a fast-paced environment, then this is the place to be

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

**Responsibilities**:

- Identify opportunities to leverage available data to resolve customer pain points.
- Own data science projects end to end starting from problem definition, data exploration/preparation, model building, and model evaluation.
- Prototype and rapidly evaluate creative ideas to gain insights into their strengths and weaknesses.
- Storytelling and visualization capabilities to deliver the right message to the concerned audience.
- Design metrics that serve as the North Stars for team efforts and A/B testing framework to support data-driven decisions.

**Qualifications**:

- BSc in Computer Science, Computer Engineering, Data Science, or related disciplines.
- Hand on experience in machine learning (ML), deep learning (DL), pretrained language models (PLMs) or large language models (LLMs).
- Data-centric & Analytical Mindset.
- Strong problem-solving skills and good understanding of data structures.
- Fluency with any programming/scripting language.
- Hands on experience in NLP is a plus
- Understanding of data analytics/visualization tools is a plus.
- Ability to learn quickly, work independently in complex situations, and deal with ambiguity.
- Experience with big data tools is a plus

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