Microsoft Machine Learning Scientist II - Insights Data 

United States, Washington 

726623128

end to end

Machine Learning Scientist II - Insights, Data Engineering & Analytics Group

As aMachine Learning Scientist II -in the IDEAs Group, you will be bringing relevant data into acentral systemsin designing, prototyping, implementing andmachine learning approaches, forecasting, causal inference modelsand also

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.

• 2+ years of experience building advanced machine learning models with impact spanning engineering, marketing, and finance, on areas such as: reinforcement learning, forecasting, Large Language Models (LLM), recommendation engines, causal inference models etc.

Other Requirements:

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.

Preferred Qualifications:

• 2+ years of experience with written and verbal communication to educate and work with cross functional teams.
• 1+ year of experience in delivering on ambiguous projects with incomplete or imperfect data.
• 3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.
• Experienceonlarge scale computing systems like COSMOS, Hadoop,MapReduceand/or similar systems.
• Experience with programming skills,e.g.Java, C#.
• Familiarity with deep learning toolkits,e.g.CNTK, TensorFlow.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until June 26, 2024.

• You will build advanced machine learning models (classifiers, reinforcementlearning,recommendation engines, causalinferenceandforecasting)with impact spanning engineering, marketing, and finance.
• As youidentifyand explore opportunities for the application of machine learning,AIand predictive analysis, you will partner with teams across product, marketing,salesand engineering teams.
• You will work with engineers to architect and develop operational models that run at scale.
• You will communicate with technical and non-technicalaudiences, andcontribute with your modelingexpertiseas a team player.
• You will tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results.
• Embody ourand.