About this role

Overview Are you passionate about applying your knowledge of statistics, machine learning, AI, and data analytics to change the software development lifecycle to the agentic development lifecycle? Do you want to use data to change how 80,000+ engineers build and ship code everyday? Are you looking for big, creative challenges that show immediate results since your customers will be just down the virtual hall? If so, come join the ES AI (Engineering System AI) team! We build Agency, the agentic engineering system, which is changing the way engineers at Microsoft work. Agency has grown fast, with over 100% user growth in the last few months, and we are tackling hard problems at speed. We need data scientists who can run at ambiguous problems and use science and data to steer the next generation engineering system.The team is hiring for Member of Technical Staff- Data Scientists with a proven track record of understanding complex business problems and using industry-leading analytical techniques to find insights that transform our business and customer experiences. A well-qualified candidate is highly technical and possesses the drive and persistence needed to tackle complex business problems and create scalable, impactful insights from diverse data sets and pipelines. They also need to be experienced at gathering data science requirements from non-data science individuals – going into an ambiguous problem space, understanding needs, asking the right questions, and building a data science approach to solve the problem. The candidate should be experienced working with multiple different disciplines to identify business or engineering problems, translate them to Data Science problems, conduct the appropriate analysis & modeling to reveal actionable insights, and then drive the right impact to leadership to get the right outcomes.This is a high visibility role with focus on big transformations and large gains. Engineers, product managers, applied researchers and other disciplines in CAP (Coplit, Agents, and Platform) and beyond will be customers of your work. You’ll have the Agency Leadership Team heavily invested in your success and impact. You will build connections with other Engineering Systems teams across Microsoft, and together you will work to identify, define, and adopt best practices for the next way of building software.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.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. Responsibilities <div><div><div id="containerFluidLayout"><div><div> </div></div></div></div></div><div><ul style="list-style-type:disc"><li>Engage with stakeholders in ambiguous and large scenarios to understand and address business problems with data-driven solutions. Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business </li><li>Serve as a subject matter expert on advanced analytics, partnering with other teams to apply and leverage this skillset to guide data-driven decision making while mentoring product managers, researchers, and engineers in data best practices </li><li>Work with coworkers, partners and customers to define data needs, research questions, analysis plans, and deliverable timelines </li><li>Translate complex technical findings into succinct, actionable business insights, often in coordination with partners who help you tell a holistic story </li><li>Occasionally support high priority ad hoc requests from company and Engineering leadership </li><li>Lead squads in new areas to define the data required to make decisions and build new things.</li><li>Share data science best practices with other disciplines and grow the overall understanding and basic skills of data science with Members of Technical Staff.</li><li>Passion for innovation and discovering new insights into engineering analytics by leveraging advanced machine learning techniques and AI as well as continued learning in these disciplines </li><li>Embody our <a href="https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.microsoft.com%2Fen-us%2Fabout%2Fcorporate-values&data=05%7C02%7CBarrett.Amos%40microsoft.com%7C939dc8185fe44c27ada408dc3898fa58%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638447476904370177%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=TtvXBN%2FgCoxtha4EhnJHrKV%2B7mpFIkZuJNktRdFNqm4%3D&reserved=0" target="_blank" rel="noopener noreferrer">Culture </a>and <a href="https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcareers.microsoft.com%2Fus%2Fen%2Fculture&data=05%7C02%7CBarrett.Amos%40microsoft.com%7C939dc8185fe44c27ada408dc3898fa58%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638447476904384207%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=UdKRIyY9hBjKzsMQS%2BLBrri5T75mfsdkiwZ2FquDF04%3D&reserved=0" target="_blank" rel="noopener noreferrer">Values</a></li></ul></div> Qualifications <div><div>Required Qualifications: <ul><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)<ul><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">OR Master's Degree 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)</li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">OR Bachelor'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)</li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">OR equivalent experience.</li></ul></li></ul>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. </div></div><div><div>Preferred Qualifications:<ul><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">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)<ul><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">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)</li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">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)</li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">OR equivalent experience.</li></ul></li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">5+ years of experience working with data analysis languages and tools such as Python, R, SQL, Kusto, etc.</li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">Experience partnering with stakeholders to translate business problems into data analysis questions and deliver business impact through predictive analytics, statistical modeling, data mining, artificial intelligence, or machine learning algorithms.</li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">Experience developing data pipelines and working with large data sets to address business problems.</li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">Understanding of the Software Development Lifecycle and experience with common software engineering tools, including Git, Azure DevOps, and GitHub.</li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">Ability to deliver on ambiguous projects with incomplete data and evolving requirements while collaborating with a multidisciplinary team.</li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;"> Experience developing or applying predictive analytics, statistical modeling, data mining, artificial intelligence, A/B experiments, or machine learning algorithms at scale.</li><li style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: black;">Demonstrated communication skills and ability to collaborate effectively in a multi-disciplinary team.#CAP #CTO</li></ul></div></div> Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: <a href="https://careers.microsoft.com/us/en/us-corporate-pay">https://careers.microsoft.com/us/en/us-corporate-pay</a> Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: <a href="https://careers.microsoft.com/us/en/us-corporate-pay">https://careers.microsoft.com/us/en/us-corporate-pay</a> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>