Senior Applied Scientist

11/21/2025

Apply advanced statistical modeling and machine learning techniques to solve complex problems. Communicate findings and recommendations to stakeholders and drive projects from concept to production.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

About The Company

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

About the Role

Apply advanced statistical modeling, machine learning, and analytics techniques to tackle complex problems such as fraud/anomaly detection, opportunities and business impact analytics. Design and analyze experiments to validate hypotheses and measure impact on products. Communicate findings and recommendations to technical and business stakeholders through clear, actionable insights. Drive projects from concept to production in a fast-paced, dynamic environment. Experiment, prototype, and evaluate new ideas. 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) 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) 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) 4+ years of experience in Python/R/Scala or similar technology. 4+ years of experience in data science, analytics, or related areas. 3+ years of experience in applied machine learning and statistical modeling. These requirements include but are not limited to the following specialized security screenings: 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) 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) OR equivalent experience. 5+ years of experience in Python/R/Scala or similar technology. 5+ years of experience in data science, analytics, or related areas. Experience in structure un-scoped problems, define success metrics, and drive execution under uncertainty. Experience moving applied research into shipped product features Experience with SQL/R/Python/or similar to implement statistical models, machine learning, and analysis in big data environment. Experience in large scale computing systems like Spark, Hadoop, MapReduce and/or similar systems.

Key Skills

Statistical ModelingMachine LearningAnalyticsPythonRScalaData SciencePredictive AnalyticsResearchSQLBig DataSparkHadoopMapReduceExperiment DesignData Analysis