Data & Applied Scientist II

Last updated 4 days ago
Location:Atlanta, Georgia
Job Type:Full Time

Our team, part of the Customer Success Engineering org, is fanatically focused on customer love: quantifying it, deeply understanding it, democratizing it, and improving it. We turn customer satisfaction into a signal as clear and indispensable as usage or perf, develop deep insights on what drives it, and proactively engage customers to increase it. Our team puts some science behind customer love, enabling engineering teams to better understand their issues.
We are a combined engineering & Data Science team architecting the system that underpins these efforts, including a survey system, the backend storage where we blend in telemetry and other sources to augment the signal, ML models to pinpoint drivers and find correlations, and our proactive outreach platform that interfaces with support and enables us easily orchestrate campaigns to connect directly with customers in a personal way.


  • Being one of the stewards for a key business metric
  • Working as part of a results-oriented, data-driven team that embraces experimentation
  • Collaborating with engineers, program managers and partner teams to develop insights from our signals
  • Building lasting models for analyzing and understanding customer satisfaction and user behavior data.
  • 2+ years of experience with machine learning, natural language processing, survey methodology & analysis and experiment design.
  • Experience applying statistical methods such as hypothesis testing, p-values, confidence intervals, regression, classifications, and optimization
  • Development experience in R/Python/SAS or similar programming language
  • Strong communications skills, in particular written research results and effective presentations
  • Familiarity with distributed data processing/analysis and modeling paradigms, such as Map-Reduce, is a plus


  • Masters or equivalent experience in quantitative field- Statistics, Engineering, Mathematics, Operations
  • 5 years experience in Analytics.
  • 2+ years of experience with Machine Learning.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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