Senior Applied Scientist

The Azure AI Platform (AIP) provides organizations across the world with the tooling and infrastructure needed to build and host AI workloads. The AI Platform organization is scaling rapidly, and we are establishing a world-class data analytics platform to support data-driven decision making through the organization. 

We are looking to hire a Senior Data Scientist to join the newly formed AI Platform Analytics team. This individual will be responsible for collaborating with teams across AI Platform to establish trustworthy data sets, develop data analytics pipelines, and provide actionable insights and analysis.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Apply your knowledge in quantitative analysis, data mining, and the presentation of data to inform decision-making. 

• Build data extraction, manipulation, processing, and data visualization tools and share these tools and your knowledge across the team, Cloud and AI, and Microsoft. 

• Apply machine learning and statistical methods to derive impactful insights, predictions, and optimization recommendations from data.
• Handle large amounts of data using various tools, including your own. 

• Ensure high-quality and reliable data. 

• Drive end-to-end projects by utilizing, applying and analyzing data to associated business problems. 

• Engage with Upper Level Management by making key business decisions. 

• Mentor other team members. 

• Contribute to data-driven culture by collaborating with product and engineering teams across Azure to establish and share best practices 
• Embody our culture and values

Qualifications

Required/Minimum Qualifications

· Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

o OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

o OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

o OR equivalent experience.

Additional or Preferred Qualifications

· Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

o OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

o OR equivalent experience.

· 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

· Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

· 3+ years experience conducting research as part of a research program (in academic or industry settings).

· 1+ year(s) experience developing and deploying live production systems, as part of a product team.

· 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

• 3+ years' experience with development using at least one of the following languages: SQL, Python, C# or Java.