Senior Data Scientist

Microsoft • Redmond, WA

13h

About The Position

What a time to join Microsoft! The Office of the Chief Economist works across the company to pursue commercial value using economics and data science. Examples of our work include algorithms that grow Microsoft’s cloud revenue and resource efficiency; some of the first-ever studies of how AI changes the way that people work; and market design for software resellers.
We are looking for a Senior Data Scientist with broad technical skills, business acumen, and a player-coach attitude. You will work alongside world-class colleagues on high-visibility projects answering some of Microsoft’s most pressing challenges. You will work directly with business partners to identify opportunities. Your initial first project will involve building algorithmic support for our deal teams, using machine learning, experimentation, and good old-fashioned analytics. This is an opportunity to rethink, build, and operate internal processes and software.
Successful candidates can dive deep into sophisticated modeling approaches when needed; but more importantly, they know when a simple and pragmatic solution will do just as well, and they know how to inspire the same in others. They know how to tell good stories through data, how to visualize, and how to use many fast iterations in the face of ambiguous problems.
Our team values entrepreneurship, craftsmanship, and continuous learning. You will be able to shape and grow a positive and productive data science culture.
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.

Requirements

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Nice To Haves

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 1+ year of experience in preparing and executing analysis plans, evaluating various statistical methods (ML, causal inference, classical methods) and choosing the most appropriate approaches given business requirements.
• 1+ year of industry experience in python and R and data query systems such as SQL or Spark, and management platforms such as Fabric, Databricks, SQL Server or Cosmos.
• 1+ year of industry experience working with cross-functional teams, gathering requirements, and building requirements into analysis plans.
• 1+ year of experience with MLops, running Production-grade ML systems and experience with Sales processes.
• 1+ year of engineering experience in a modern cloud stack, including serverless methods and demonstrated experience leveraging your skills using AI.

Responsibilities

• Understand business needs and develop appropriate data analysis to meet those needs including pipelining, exploratory data analysis, modeling, inference, and experimentation.
• Collaborate with senior economists to solve some of Microsoft’s most pressing issues, delivering tangible commercial value.
• Together with your team, interpret and present analysis results to senior stakeholders.
• Coach more junior team members, promoting a culture of learning and evangelizing modern data science methods.
• Build a robust product that makes data, econometrics, and ML useful for deal teams in the field.
• Embody our culture and values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree