Senior Data Scientist

Overview

Microsoft is hiring a Senior Data Scientist to support our HR organization! Do you enjoy developing innovative data science solutions to solve big problems? Are you passionate about enabling data-based decisions to tackle strategic challenges? We are looking for someone to do just that in the context of Microsoft's biggest asset - our people.

This is an opportunity to join our evolving HR Business Insights (HRBI) Data & Applied Sciences (DAS) team as we forge leading practices in people analytics - important work that helps Microsoft empower every person and organization on the planet to achieve more. In this role, you will help HRBI in its partnership with Engineering to provide insights on how engineers can thrive at Microsoft, by studying their sentiment and behavior. On the DAS team, you will pioneer novel applications of causal modeling, machine learning, statistics, and AI to help support more data-driven people and organization decisions. You will use your rich data science toolkit in causal modeling, advanced statistics, and forecasting to drive proactive recommendations on how to make our engineers more productive and empowered. The candidate will also deliver business impact through data-backed storytelling and visualization creation, and they will be driven by their intellectual curiosity, self-starter mentality, and hunger for impactful work.

This position is subject to Microsoft's Flexible Work Policy.

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

• Work cross-functionally within HRBI and across Engineering to deliver technically innovative data science solutions to better understand and serve our engineers.

• Develop and execute HRBI's EngThrive data science roadmap and deliver actionable insights for engineering leaders.

• Contract with fellow data scientists, analysts and business partners to define data needs, research questions, analysis plans, and deliverable timelines.

• Be a subject matter expert in causal modeling, advanced statistics, and forecasting. Understand which part of your data science toolkit (coding, modeling, data engineering, and visualization) to deploy when answering business questions while meeting stakeholder needs and timelines.

• Explain to both technical and lay audiences which methods you are using, why, and what insights you found. Translate complex technical findings into succinct, actionable business insights, often in coordination with partners who help you tell a holistic story.

• Occasionally support high priority ad hoc requests from company and HR leadership.

• Self-directed learning with a passion for innovation and discovering new insights.

Other

• Embody our culture and values

Qualifications

Required/minimum qualifications

• 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.

Preferred Qualifications

• 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.

• Experience working in cloud environments (Azure preferred)

• Hands-on experience writing code that's elegant, clean and efficient in Python, R, and/or SQL

• Experience working with survey data, longitudinal data, text data, and behavioral data

• Proficiency in: A/B experiments, NLP, APIs, data orchestration, data engineering

• Experience with Azure Data Studio, Kusto (Azure Data Explorer), Spark and/or Fabric

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.