Job Description

Overview

Do you enjoy developing and leading innovative data science solutions to solve big problems? Are you passionate about enabling data-based decisions to tackle strategic challenges? We are looking for someone to do just that in the context of Microsoft's biggest asset - our people.

This is a great opportunity to lead our evolving HR Business Insights (HRBI) Data & Applied Sciences (DAS) team as we forge leading practices in people analytics - important work that helps Microsoft empower every person and organization on the planet to achieve more. The HRBI DAS team pioneers novel applications of machine learning, statistics, and AI to help support more data-driven people and organization decisions. As this team's manager, you will help them leverage advances in Machine Learning and generative AI to incubate new advanced HR analytics solutions, piloting them within HRBI and partnering for wider deployment. In this important role, you will help Microsoft HR realize the potential of technological advancements and help inform product design for relevant technologies that Microsoft builds for customers worldwide (ex. Viva Insights). The ideal candidate will also deliver business impact through being an excellent people manager - modeling, coaching and caring for both team empowerment and accountability for high performance.

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.

This role follows a hybrid work model. Candidates within 50 miles of the Redmond, WA offices are expected to work onsite three days per week. Candidates outside this geographic area may be eligible for a remote work arrangement.

Responsibilities

Responsibilities

• Leading, mentoring and managing a small team of data and applied scientists, fostering a culture of continuous learning and collaborative innovation.

• Leading and executing HRBI's data and applied sciences roadmap and delivering actionable insights for company leaders and HR.

• Working across HRBI teams to deliver technically excellent, innovative, persona-based experiences/applications, optimized for Security, Privacy and Responsible AI.

• Partnering closely with HRBI and business partners to understand their needs, prioritize work, and co-create impactful solutions.

• Staying abreast of industry trends in data science and analytics, proactively improving systems, and establishing our team as thought leaders and consultants.

• Being a technical leader and learning evangelist in the areas of NLP, statistics, LLMs and Machine Learning.

• Elevating analytical complexity and excellence across HRBI through our community of practice. Maintaining robust peer review, driving wider application of exploratory/predictive statistical techniques, and accelerating org usage of LLM-enabled, analytical tools.

Qualifications

Required Qualifications:

• Bachelor'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 Master'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 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.

• 1+ year(s) of people management experience.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

• 5+ years of people management experience.

• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

• 5+ years experience conducting research as part of a research program (in academic or industry settings).

• 3+ years experience developing and deploying live production systems, as part of a product team.

• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping

• Proven ability to foster a diverse, inclusive and collaborative team culture

• Experience working within and directing geographically dispersed, diverse and virtual teams

• High attention to detail, commitment to accuracy, and adherence to data privacy and confidentiality

• Demonstrated ability to work in ambiguous situations and across organizational boundaries

• Willingness to adapt quickly to shifting business priorities and work effectively under pressure with multiple deliverables and deadlines

• Experience managing both technical and non-technical stakeholders and able to resolve complex business and technical issues

• Hands-on experience applying statistical & machine learning techniques to extract knowledge and insights from structured and unstructured data

• Deep expertise in machine learning algorithms, Azure infrastructure, and state of the art agentic end-to-end AI frameworks, coupled with a proven ability to evangelize their adoption and drive impact across technical and executive stakeholders

• Proficiency with programming languages (ex. Python, R, SQL) and AI/ML tools/frameworks (ex. scikit-learn, Azure ML, Azure Foundry, AutoGen/Semantic Kernel)

Applied Sciences M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $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:

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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 requesting accommodations. (

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