Principal Data and Applied Sciences Manager

Overview

Microsoft Phone Systems is a growing multi-billion dollar business. Our team provides telephony and associated experiences to Teams, Skype and third party adoptions.

Our team is called AI, Insights and Modeling (AIIM) that provides business intelligence, data and AI / ML services to the Phone Systems business.

We are hiring a Principal Data and Applied Sciences Manager to build highly scalable AI offerings and deliver services and experiences for empowering Microsoft’s Teams Phone Systems Business to be successful.

This is a unique opportunity to use your leadership skills and experience in providing the data towards building core technologies that will directly affect the future of Microsoft Phone system business which is a multimillion dollar business.

In this position, you will be part of a fun-loving, diverse team that seeks challenges, loves learning and values teamwork.

You will collaborate with team members and partners to build high-quality and innovative data solutions using latest technologies in a dynamic and agile environment and have opportunities to anticipate future technical needs of the team and provide technical leadership to keep raising the bar for our competition.

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.

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
• 6+ years of experience developing and deploying end-to-end ML / AI systems. Skills include working with structured and unstructured data, data processing at scale, feature engineering, and model operationalization
• 4+ years of experience with design, implementation, debugging and testing of complex distributed services
• 3+ years of experience working on Machine Learning models specifically with Natural language-based models, vector databases and graph databases

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 collaborating with geographically dispersed, diverse, and virtual teams is preferred. Candidates should have a track record of managing both technical and non-technical stakeholders, adept at resolving intricate business and technical challenges
• Demonstrated experience with software engineering principles, parallel and distributed computing, statistics, machine learning, and cloud technologies like Azure, AWS, or Google Cloud is highly valued
• Doctorate in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent
• 9+ years of experience in Machine Learning
• 5+ years using ML tools like Pytorch and TensorFlow
• Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs
• System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems

Applied Sciences M5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 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 July 5th, 2024.

Responsibilities

Joining our team means collaborating closely with impactful data scientists and strategic clients to tackle intricate challenges.

You'll analyze trends and introduce innovative AI solutions to stakeholders while engaging with various teams such as engineering, product, and program management to implement effective business solutions.

Our team fosters a growth mindset, fosters excellence, and values diverse perspectives and authenticity.

Business Understanding and Technical Oversight :

• Lead data science projects or teams to meet business requirements and deliver results
• Define and communicate technical direction and strategy for projects and teams, considering project goals, industry trends, and technical context
• Offer technical guidance, recommend best practices, and facilitate team consensus on practices
• Ensure project deliverables meet quality standards by setting clear expectations and overseeing implementation

Data Preparation, Understanding and Evaluation :

• Conduct thorough exploratory data analysis on complex datasets to identify patterns and generate relevant hypotheses, employing statistical techniques like hypothesis testing and regression analysis
• Ensure data quality and reliability by addressing issues such as data cleaning, preprocessing, missing data, outliers, and anomalies
• Collaborate with stakeholders to establish project objectives and design evaluation methods, including identifying key performance indicators (KPIs) aligned with organizational goals
• Share expertise, provide feedback, and contribute to industry knowledge and improvement
• Offer customer-focused insights and solutions by understanding business, product, and customer needs

Other : Embody our and

Embody our and

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

Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect