This is a unique time to be working for Microsoft and mainly for its Marketing division. Microsoft marketing is at the forefront of customer obsession and leadership focus. Are you passionate about data-driven marketing? Do you want to be at the forefront of that by providing deep data insights and building cutting edge machine learning models to make predictions and recommendations to leadership? Do you want to be part of a fun, passionate, and high performing team, providing deep data insights and building cutting edge machine learning models? If yes, join the Predictive Analytics team in the Microsoft US Central Marketing Organization (USCMO). USCMO, part of Microsoft US Marketing and Sales organization, is transforming Microsoft US field marketing into a true data-driven organization. The Team : The Predictive Analytics team within USCMO is chartered with enabling US Marketing Managers with world class analytics and insights. We support all business-to-business direct marketing efforts
As a Machine Learning Engineer in our USCMO Predictive Analytics team, you would be responsible for: Data preparation, statistics, and machine learning to investigate problems with the goal of improving marketing impact on opportunities and drive revenue. Using your creative thinking skills to think big and with emphasis on developing innovative solutions to solve complex problems. Coaching peers to up level the overall team's expertise in ML. Manipulating data using various analytical programming languages and frameworks: HD Insights/DataBricks/Hadoop, SCOPE/U-SQL, R, Python Using and promoting
5+ years of experience with C#, Python/R, Shell Scripting, Java, SQL, Scope/U-SQL, Azure HD insight services/Hadoop, Spark, Kafka Experience analyzing complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques Ability to understand and translate business problems into advanced technical solutions Ability and technical aptitude to create observations and build models to predict and recommend business outcomes Experience building practical machine learning models with applications to real-world problems in the marketing domain. Good understanding