Microsoft is hiring a Senior Data Scientist to support its HR organization by developing innovative data science solutions to solve big problems and enable data-based decisions to tackle strategic challenges related to Microsoft's people.
Requirements
- 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
Responsibilities
- Develop and execute HRBI’s EngThrive data science roadmap and deliver actionable insights for engineering leaders.
- 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
- 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.
- 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.
- Work cross-functionally within HRBI and across Engineering to deliver technically innovative data science solutions to better understand and serve our engineers.
- Contract with fellow data scientists, analysts and business partners to define data needs, research questions, analysis plans, and deliverable timelines.
- Embody our culture and values
