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The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
Job Responsibility:
Oversee data acquisition and ensure data is properly formatted and described
Coach engineers in data cleaning and analysis best practices
Identify gaps in current data sets
Drive ethics and privacy discussions around data collection and preparation
Evaluate your team’s models and recommend improvements as necessary
Drive best practices for models
Develop operational models that run at scale
Conduct thorough reviews of data analysis and modeling techniques
Identify and invent new evaluation methods
Research and maintain a deep knowledge of the industry, including trends and technologies
Identify strategy opportunities and contribute to thought leadership best practices
Write extensible code that spans multiple features
Develop expertise in proper debugging techniques
Define business, customer, and solution strategy goals
Partner with other teams to identify and explore new opportunities
Commit to a customer-oriented focus by acknowledging their needs
Offer customer pragmatic solutions that align with their data capabilities
Embody our culture and values
Requirements:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
OR equivalent experience
3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience
Nice to have:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience
OR equivalent experience
Enjoy travel and are comfortable with travel up to 25%
What we offer:
Competitive package including a wide range of benefits built around your personal needs and those close to you
Investment in your health, wellness, and financial future