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. Its best known software products are the Microsoft Windows line of operating systems, the Microsoft Office suite, and the Internet Explorer and Edge web browsers.
At Microsoft our mission and values are to help people and businesses throughout the world realize their full potential.
We are recruiting to fill the position below:
Job Title: Data and Applied Scientist II - Digital Transformation Platform
Job number: 1208930 Location: Lagos, Nigeria
Travel: 0-25 %
Role type: Individual Contributor
Employment type Full-Time
As a foundational pillar of the company, the Digital Transformation Platform group is building the next generation of business applications and platforms that will help businesses large and small succeed in achieving their digital transformation agenda.
The products we are responsible for include Data platform, IoT platform, ML platform, Industry cloud, Dynamics 365, Power Platform (Power BI, PowerApps, Power Automate), Mixed Reality for business and other SaaS applications and workloads.
We are seeking a dynamic individual contributor for our Data Science function as part of our Insights and Analytics team. In this role, you will be responsible for delivering deep analytical insights to drive business success as well as productizing models to help drive usage growth of our products.
Applying statistical and machine learning techniques to problems like customer or user segmentation, classification, and clustering to understand usage trends and drivers of satisfactions
You will design experiments, analyze results, and produce actionable, trustworthy conclusions from them.
Present findings and recommendations to key decision makers at various management levels
Drive innovation leveraging Data Science and Machine Learning, to experiment with and establish new ways of driving customer engagement by leveraging data – ultimately resulting in usage and satisfaction growth
Engage with customers via public presentations and 1:1 meeting at all levels
Bachelor's, Master's or PHD in Data Science, Mathematics, Operational Research, or related field.
2+ years of hands-on experience with data science, big data experience and analytics in a business context.
Experience with product and service big data telemetry systems.
Significant experience in Data Science and Machine Learning with a strong proven track record in delivering positive business impact .
Strong knowledge in applied statistics and mathematics
Significant experience of analytical programming languages such as R and/or Python.
Enjoy discovering and solving problems; proactively seeking clarification of requirements and direction; being a self-starter who takes responsibility when required.
Strong interpersonal, verbal, visual and presentation skills, ability to communicate complex findings in a simple manner to executives.
Ability to work collaboratively across multiple business and engineering teams
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.