Data & Applied Scientist-Substrate App Platform at Microsoft

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  • Company: Microsoft
  • Location: Kenya
  • State: Nairobi
  • Job type: Full-Time
  • Job category: - - Data Science / Research Jobs in KenyaIT/Telecom Jobs in KenyaMicrosoft Jobs in Kenya
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Job Description

Microsoft Corporation (commonly referred to as Microsoft or MS) is an American multinational technology company headquartered in Redmond, Washington, that develops, manufactures, licenses, supports and sells computer software, consumer electronics and personal computers and services. Its best known software products are the Microsoft Windows line of operating systems, Microsoft Office office suite, and Internet Explorer and Edge web browsers. Its flagship hardware products are the Xbox video game consoles and the Microsoft Surface tablet lineup. As of 2011, it was the world’s largest software maker by revenue, and one of the world’s most valuable companies.

Responsibilities
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze signals data from the substrate to drive optimization and improvement of product user experience.
  • Develop custom data models and algorithms to apply to data sets.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications

Required Qualifications:  ?

  • MS/BS in CS/EE/Applied Mathematics/Statistics/DS/ML or related fields.
  • 3+ years of professional experience working with machine learning libraries and real world data science problems.
  • 3+ years of professional experience in at least one scripting language (Python, NodeJS, Ruby, Perl).
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

A successful candidate will show skills in the following areas:

  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Passion for problem-solving.
  • Good communication skills
  • Working in agile teams with strong customer focus
  • Experience in Azure, Exchange, or other cloud and distributed systems is a plus.
Method of Application
Submit your CV and Application on Company Website : Click Here Closing Date : 20 April. 2022