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Principal Data Scientist - FDE
Microsoft
Remote, GBR
Full-time
Senior
Remote
GBP 93500-161800 yearly / year
Discovered 1 weeks ago
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In the Microsoft Frontier Company, you won’t just build software; you’ll deliver real outcomes for some of the world’s most complex organizations.
We are a global team of world-class engineers who have been working in a Forward Deployed Engineering (FDE) model for more than a decade, embedding directly within customer teams to solve their toughest challenges, side-by-side, and shipping production-ready solutions in days, not months.
As a Principal Data Scientist, you will help transform how organizations use data, developing models, running experiments, and driving evidence-based decisions that have measurable business impact.
You’ll work in small, multidisciplinary crews alongside engineers, product managers, and domain experts, owning the full lifecycle from data discovery through to deployed solutions.
Our work is powered by AI, applying the mindset and tooling across the entire development lifecycle to move from idea to production in days while maintaining the highest standards of security, quality, and trust.
This role offers the opportunity to:
- Work with messy, real-world datasets and turn them into scalable, production-ready solutions
- Run experiments that directly influence business strategy and customer outcomes
- Collaborate with leading global organizations across industries
- Apply the latest advancements in AI and data science to solve problems at scale
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.
- You will oversee acquisition of the data sets necessary for your project delivery and ensure data is properly formatted and described. You will address any gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.
- You will evaluate your team’s models using metrics tied to genuine business outcomes and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques and identify and invent new evaluation methods.
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