​Senior ​Data Scientist (Fabric)​

Key Skills

Data science techniques, Effective communication skills, Machine learning techniques, Python Programming, R Programming

Job Description

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

We are seeking a dynamic individual contributor Senior Data Scientist as part of our Insights and Analytics team. In this role, you will be responsible for delivering deep analytical insights to drive business success as well as productizing ML models to help drive usage growth and satisfaction of our products. Leveraging our Azure Data suite of products, you will develop these solutions and collaborate closely with product leaders to channel feedback, thus enhancing the overall quality of our offerings.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience
• 2+ years of hands-on experience with data science, big data experience and analytics in a business context.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results))
  • OR equivalent experience.
• Experience with product and service big data telemetry systems.
• Experience in Data Science and Machine Learnings with a proven track record in delivering effective business impact.
• Knowledge in applied statistics and mathematics.
• Experience of analytical programming languages such as R and/or Python.
• Experience with Gen AI and its applications.
• Passion for discovering and solving problems; proactively seeking clarification of requirements and direction; a self-starter who takes responsibility when required.
• Effective interpersonal, verbal, visual and presentation skills, effectively communicates complex findings in a simple manner to executives.
• Ability to work collaboratively across multiple business and engineering teams.
• A willingness to learn, share, and improve.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until May 26, 2024.

Responsibilities

• Applying statistical and machine learning techniques to problems like text feedback analysis, customer/user segmentation/classification/regression analysis to understand usage trends and drivers of satisfactions.
• You will design experiments, analyze results and produce actionable, trustworthy conclusions from them.
• Present findings and recommendations to key decision makers at various management levels.
• Drive innovation leveraging Gen AI, Data Science and Machine Learning, to experiment with and establish new ways of driving customer engagement by leveraging data – ultimately resulting in usage and satisfaction growth.
• Provide feedback to the engineering team to identify potential future business opportunities and new product capabilities.
• Leverages Microsoft tools including Fabric and contribute to the design of major feature enhancements for Fabric. Leverage your experience and perspective to provide critical feedback on the approach with special focus on the Data Science workload and Copilot capabilities.
• Shares knowledge of the industry through conferences, white papers, blog posts, etc. Researches and maintains deep knowledge of AI industry trends, technologies, and advances. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
• Embody our Culture and Values