Join Microsoft: Machine Learning Scientist II - Insights, Data Engineering & Analytics Group (IDEAs)

Welcome to the Insights, Data Engineering & Analytics Group (IDEAs) at Microsoft, a central data science team dedicated to M365 engineering and marketing. As one of Microsoft's largest data science groups, IDEAs plays a pivotal role in delivering data and analytics for M365, managing the entire ML and decision sciences charter. By joining us, you'll be at the forefront of data, insights, machine learning, AI, and technology, providing actionable insights that drive crucial business decisions for the entire M365 organization.

About the Role: Machine Learning Scientist II

As a Machine Learning Scientist II in the IDEAs Group, you'll be responsible for consolidating relevant data into central systems to create a single version of truth. You'll perform opportunity analysis and hypothesis generation across the end-to-end customer lifecycle. This role offers the chance to gain expertise in designing, prototyping, and implementing machine learning approaches, forecasting, and causal inference models. You'll thrive in a collaborative team environment that values cross-team collaboration and building on collective success.

Microsoft's Mission

Microsoft aims to empower every person and organization on the planet to achieve more. Our employees unite with a growth mindset, innovating to empower others and collaborating towards shared goals. We build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive, both at work and beyond.

Key Responsibilities

• Develop advanced machine learning models (classifiers, reinforcement learning, recommendation engines, causal inference, and forecasting) impacting engineering, marketing, and finance.
• Identify and explore opportunities for applying machine learning, AI, and predictive analysis.
• Collaborate with product, marketing, sales, and engineering teams.
• Work with engineers to develop and scale operational models.
• Communicate with both technical and non-technical audiences, contributing your modeling expertise as a team player.
• Tackle challenging problems innovatively, driving self-directed initiatives to deliver the right results.
• Embodiment of Microsoft's culture and values.

Qualifications

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 the same fields AND 1+ year related experience OR Doctorate in the same fields OR equivalent experience.
• 2+ years of experience in building advanced machine learning models with a significant impact, 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, including the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 2+ years of experience in written and verbal communication to educate and collaborate with cross-functional teams.
• 1+ year of experience in delivering ambiguous projects with incomplete or imperfect data.
• 3+ years of experience with SQL, R, Python to implement statistical models and machine learning in big data environments.
• Experience with large-scale computing systems like COSMOS, Hadoop, MapReduce, etc.
• Proficiency in programming languages such as Java, C#.
• Familiarity with deep learning toolkits like CNTK, TensorFlow.

Compensation and Benefits

The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. Specific locations, such as the San Francisco Bay area and New York City metro area, have a base pay range of USD $127,200 - $208,800 per year. Roles may be eligible for additional benefits and compensation. For more details, visit .

Microsoft will accept applications for this role until June 26, 2024.

Equal Opportunity Employer

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age,