Cloud computing, Machine learning techniques, Data science techniques, Deep Learning, Statistics, Large scale data processing
Are you someone with a passion for data, analytics, insights, and technology? Do you want to work on one of the largest data science teams at Microsoft, lighting up actionable insights that drive key business decisions for the Microsoft Cloud? Do you have a passion for collaborative culture and empowering people to grow and deliver innovations? Does the idea of leading an organization of data scientists to deliver measurable, real-world impact for Microsoft and our customers sound exciting to you?
Team and Role:
The goal of the Microsoft Cloud Data Sciences team is to foster a data-driven culture; to encourage and enable the entire organization to make more informed decisions through data. In support of this mission, our Customer Data Science and Experimentation team works closely with engineering, marketing, finance, sales, and business leaders to identify opportunities for improving the customer experience and accelerating the growth of cloud platforms and services. Our charter spans the breadth of Microsoft Cloud (Azure, Microsoft 365, Power Apps, Power BI, Teams, Dynamics 365, and beyond) where we surface key insights, identify salient trends, perform analyses of historical data, define benchmarks and models for predicting upcoming performance, and design and deliver standardized views of business performance. The team is passionate about continuous learning: you will join a diverse team focused on developing and applying new skills in an inclusive environment.
We are looking for an experienced Data & Applied Science Manager to lead our Data and Applied Scientists to unlock new value for Microsoft customers by understanding product consumption patterns of our Data solution area across the Microsoft Cloud. As a data and applied science manager, you’ll work with your team leaders to establish and measure your organization's goals and results and empower your leads and team to deliver innovative customer and business insights to our engineering, marketing, sales, services, and support community.
The role is primarily focused on enabling our data scientists to deliver data driven insight within the Data solution area to help customers realize the value of the cloud through providing data science insights such as customer prioritization, recommendations, and other insights derived from data with opportunities for Statistical analyses and ML Modelling. You will be leading a group of experts on the front lines of synthesizing vast data sets of customer purchase and engagement behavior into targeted recommendations for addressing real world cloud computing business challenges at scale.
KEY ACCOUNTABILITIES:
BASIC QUALIFICATIONS
PERSONAL ATTRIBUTES/INTERPERSONAL SKILLS:
PREFERRED QUALIFICATIONS
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
Microsoft Corporation is an American multinational technology company with headquarters in Redmond, Washington. It develops, manufactures, licenses, supports, and sells computer software, consumer electronics, personal computers, and related services. It is one of the Big Five American information technology companies, alongside Google, Amazon, Apple, and Meta.
Cambridge, Cambridgeshire, United Kingdom
2-4 year
Cambridge, Cambridgeshire, United Kingdom
2-4 year
Cambridge, UK
2-4 year
Cambridgeshire, UK
2-4 year
Herzliya, Tel Aviv, Israel
2-4 year
Mumbai, Maharashtra, India
0-2 year
San Jos? Province, San Jos?, Costa Rica
2-4 year
Bangalore, Karnataka, India
2-4 year
Taipei, Taiwan
2-4 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
2-4 year
Redmond, WA, USA
0-2 year
Bellevue, WA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
2-4 year
New England, USA
2-4 year
Redmond, WA, USA
2-4 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
2-4 year
Sunnyvale, CA, USA
0-2 year
New York, NY, USA
0-2 year
San Francisco, CA, USA
0-2 year
Cambridge, UK
0-2 year
San Francisco, CA, USA
4-6 year
Cambridge, UK
2-4 year
Redmond, WA, USA
0-2 year
Dubai - United Arab Emirates
8-10 year
Abu Dhabi - United Arab Emirates
8-10 year
Johannesburg, Gauteng, South Africa
8-10 year
Dubai - United Arab Emirates
8-10 year
Vancouver, BC, Canada
0-2 year
Vancouver, BC, Canada
2-4 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
0-2 year
Redmond, WA, USA
0-2 year
Cambridge, UK
2-4 year
Johannesburg, Gauteng, South Africa
2-4 year
Vancouver, BC, Canada
6-8 year
Herzliya, Tel Aviv, Israel
2-4 year
Vancouver, BC, Canada
6-8 year