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Azure Global Strategy & Pricing Analytics Data Scientist
  • Python
  • SQL
  • Machine Learning
  • Big Data
  • Data Analysis
  • Database
  • Modeling
  • A/B Testing
  • Deep Learning
  • Azure
Microsoft
Redmond, WA
135 days ago
The economics and pricing of cloud computing is a true greenfield opportunity, and becoming more data-driven in pricing decision making could easily drive fundamental changes to Microsoft Azure that have significant material implications for the business. Are you looking for an opportunity to be part of one of the most innovative teams and help to create the best user experience and business models in the Cloud? Are you passionate about using data to improve customer experiences and business performance? Are you motivated to find novel ways of analyzing data and helping teams across Microsoft improve satisfaction of millions of customers? Do you have strong technical data skills and a desire to use those skills to improve decision making for Microsoft’s cloud services.
If so, we’d love to hear from you!

The Azure Global Strategy and Pricing Analytics Business Planning team is looking to take our cloud pricing to the next level. The team heavily relies on data for their planning, execution, and operations. We have strong curiosity about the wealth of data available to us, and we are always looking for ways to use it to improve our customer experiences and business performance.

Responsibilities

The Azure Global Strategy & Pricing Analytics Data Scientist will be using data to deliver pricing prototypes and actionable pricing insights that drive improvements to the Azure platform and its customers. In this role, you will be responsible for the development of innovative pricing models and advanced data analysis, that enable our Azure pricing to more effectively and efficiently drive our short- and long-term business objectives. This role will

  • Build Pricing Algorithms for new regions that help drive toward the long range plan
  • The intake and prioritization process for analytical needs
  • Be the “voice” of analytics in leadership forums and up-level data-informed storytelling across Azure Global Strategy and Pricing Analytics within Business Planning and with Stakeholders
  • Continuously learn about pricing analytics industry trends and keep the key stakeholders educated
  • Conduct pricing experiments within and across different regions
  • Build models that detect pricing anomalies and customer reaction to changes in prices
  • Work collaboratively with data engineering teams as required to acquire all necessary data to support project needs

The work will involve a combination of economic and statistical modeling, simulations as well as some data engineering visualization. Possible topics include regional pricing strategy, bundling options, demand estimation, improving customer experience, and virtual machine bin packing.

Qualifications

Required Qualifications:
4+ years of industry experience in data science or related roles is required
A bachelor’s degree or master’s degree in a quantitative field such as computer science, economics, mathematics, physics, or statistics (advanced degrees preferred) is required
Proficiency in Python is required
Proficiency with relational databases and SQL is required
Proficiency with distributed big data analytics
Solid understanding of probability, statistics, machine learning, data science
Expertise with A/B testing and analysis of machine learning models, and optimizing models for accuracy
Preferred Qualifications:
Proficiency with statistical packages in R
Experience working with machine learning models
Ability to work across multiple models; be able to identify the different data sources across Microsoft that we should use
Experience with TensorFlow/PyTorch and deep learning models is a plus
Experience with, or familiarity of, Microsoft customer and commercial models and databases
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 process, please send a request via the Accommodation request form.

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