Senior Data Scientist

Join the forefront of sustainable innovation at Microsoft's Cloud Operations & Innovation (CO+I) as a Senior Data Scientist.

In this pivotal role, you'll be instrumental in driving the sustainable evolution of our core infrastructure and foundational technologies that power Microsoft's leading online services, including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform.

Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.

Imagine harnessing the power of machine learning models, big data, and predictive analytics to transform the landscape of data center sustainability.

With over 200 data centers spanning 32 countries and millions of servers, our global infrastructure is a playground for data scientists eager to make a tangible impact.

Collaborating with a team of experts, you'll support services for over 1 billion customers and 20 million businesses across 90 countries, pushing the boundaries of what's possible in the world of cloud computing.

With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.

Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Harness the latest advancements in Data Science, Machine Learning and Artificial Intelligence (AI) to pioneer new approaches that significantly help our sustainability objectives and drive efficiency across our data center operations.
• Translate complex data into compelling narratives and present findings, along with strategic recommendations, to stakeholders at all levels of management.
• Lead the design and implementation of experiments to validate hypotheses and measure the effectiveness of new approaches, ensuring robustness and reliability of findings.
• Provide feedback to the engineering team to identify potential future business opportunities and new product capabilities.
• Mentor junior team members and contribute to the professional development of the broader data center innovation team, fostering a culture of curiosity, experimentation, and continuous learning.
• Embody our culture and values.

QualificationsRequired Qualifications :

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.
• 5+ years of experience in being a data scientist.
• 3+ years of experience in working with software engineering teams, hardware engineering teams, and / or data science teams.

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 :

• Experience with various generative AI technologies including advanced prompt engineering, model fine tuning and large-scale deployment.
• Proven experience working with large-scale product and service telemetry systems, demonstrating a deep understanding of data collection, processing, and analysis methodologies.
• Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.) and forecasting.
• Proven foundation in applied statistics and mathematics, with the ability to apply advanced analytical techniques to solve complex problems.
• Fluency in analytical programming languages such as Python.
• Experience with Experiment Design and analysis.
• Ability to clearly communicate ideas, simplify and formalize complex ideas.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here : https : / / careers.

microsoft.com / us / en / us-corporate-pay

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

COICareers #Sustainability

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

If you need assistance and / or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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