Microsoft Cloud & AI group has a unique opportunity at the intersection of cloud computing and AI. We are disrupting the cloud industry with innovation and large-scale AI implementation
Part of the Cloud & AI engineering organization, Microsoft Cloud Data Sciences (MCDS) fosters a data driven culture. DSaaS (Data Sciences as a Service) Innovation Operations Center is a shared service within MCDS that drives impact and innovation using state-of-the-art Machine Learning (ML). In DSaaS, we drive applied ML across Customer, Partner, Field & Cloud. We work across groups: engineering, Sales, Cloud Marketplace, Partner, Digital, Marketing, Support, Developer Relations, Start-ups and Finance. Most of our models are deployed into production systems including our MLOps platform. We have a strong presence in internal and external ML conferences & journals.

Microsoft has varied digital properties that include Direct Business (Dynamics Platform website, PowerPlatform website), Developer Relations Portal, Learning Portal etc. In this role, you will enable Machine Learning impact from personalization that involves site changes and testing/targeting working with data scientists, engineering and product management teams. You will also contribute significantly to our MLOps platform from a Digital standpoint

Responsibilities

• With a strong knowledge of the web analytics concepts and experience across the Adobe stack (tools for Site Analytics, Site Reporting, Advanced Analytics, Testing & Targeting, Behavioral Targeting/Segmentation), you will work with the best-in-class data scientists, data engineering and product teams to craft personalized experiences for the visitors to our Direct Business (Dynamics platform, BizApps Platform, Power platform), Developer Relations portal and our Learnings Portal.
• You will work with huge volumes of data to solve/enable solving real-world ML problems that are produtized into the websites as features.
• You will work with global teams with a phenomenal opportunity to create impact.
• You will be able to work with our data engineering team to define the specifications for ingestion of data and also on experimentation.
• You are able to work effectively with Product Management (PM) specifications and with the site engineering team to effect website & testing changes.
• You are able to expose ML services from our MLOps platform to external digital tools to enable testing & targeting, site changes etc. 

Qualifications

#Bachelors degree in Computer Science, Mathematics, Statistics, Physics or related field. Masters desirable.

# Adobe Stack (Analytics, Audience Manager, Experience Platform, Campaign, …..; erstwhile SiteCatalyst, Discover, Target, Insight, Data Warehouse,…..Adobe Certifications Preferred
# Predictive Modelling Exposure
# SQL, Relational Databases
# Delivery of web analytics and testing/targeting solutions/analyses
# Experience leveraging ML algorithms for site improvements
# Experience deploying templates/best practices for web analytics, tools/capabilities, innovative and impactful solutions for improvements - that moved site metrics like funnel metrics, conversion, Average Order Value, Site engagement, reduced bounce rates, ...etc

Good to have :
# Knowledge of (with deep expertise in at-least one of) Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph theories, NLP
# Knowledge of one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras)
# Past experience of ensuring compliance of platform to regulators and having worked with auditors is a plus

# Prior experience in testing is a plus: Strong understanding of product requirements, technical solution plan and testing objectives. Review test coverage of new features and provide suggestions to improve their quality

# Experience designing GUIs is a plus

Join us to be part of an iterative & fast-paced environment where you can drive impact, innovation and apply state-of-the-art techniques to solve problems on a global scale. Join our exciting data sciences team that is shaping the evolution of Cloud & AI. Learn more about us at: https://medium.com/data-science-at-microsoft

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. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.