Principal Data and Applied Sciences Manager

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

We are seeking a Principal Data and Applied Sciences Manager. This is a great opportunity to lead our evolving Human Resources 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 . This role will also deliver business impact through being a proficient people manager - modeling, coaching and caring for both team empowerment and accountability for high performance.

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission.

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) people management experience.

Preferred Qualifications:

• 3+ years of people management experience with a passion for leading teams and developing talent
• Masters or Doctorate degree preferred
• Experience working within and directing geographically dispersed, diverse and virtual teams
• 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
• Experience in AI end-to-end application development using both backend and frontend technologies
• Proficiency with programming languages (ex. Python, R, SQL) and ML/AI tools/frameworks (ex. scikit-learn, Spark, TensorFlow, PyTorch )
• Familiarity with Azure resources such as Azure ML, Azure DevOps, Azure Data Factory, Azure AI Services & Microsoft Cognitive Toolkit (CNTK)
• High attention to detail , commitment to accuracy, and adherence to data privacy and confidentiality
• Demonstrated ability to work in ambiguous situations and collaborate effectively across organizational boundaries
• Willingness to adapt quickly to shifting business priorities and work effectively under pressure with multiple deliverables and deadlines
• Proven ability to foster a diverse, inclusive and collaborative team culture

Applied Sciences M5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year.

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 October 18, 2024.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Responsibilities

• People Management - Leading, mentoring and managing a small team of data and applied scientists, fostering a culture of continuous learning and collaborative innovation. Managers deliver success through empowerment and accountability by modeling, coaching, and caring.
  • Model - Live our culture; Embody our values; Practice our leadership principles.
  • Coach - Define team objectives and outcomes; Enable success across boundaries; Help the team adapt and learn
  • Care - Attract and retain great people; Know each individual's capabilities and aspirations; Invest in the growth of others.
• 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 sound, 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 connected with larger data science community at Microsoft and staying abreast of industry trends, proactively improving systems, and establishing our team as thought leaders and consultants.
• Being a technical leader and learning evangelist in the areas of statistics, NLP, Data/ MLOps engineering, 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 HRBI usage of LLM-enabled analytical tools.
• Overseeing HRBI Azure related infrastructure and resources maintenance, plus S360 alerting system.
• Embody Microsoft's culture and values