Microsoft Senior Data Scientist 

United States, New York, New York 

354560874

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.
• Hands-on experience and demonstrated domain knowledge with Generative AI (GenAI) technologies.
  

Additional or 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, ComputerPer-Job Screening QuestionsScience, 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.
• 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• Experience working in Cloud technologies such as Azure.
• Experience working as part of geographically dispersed, diverse, and virtual teams.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until August 21, 2024.

Business Understanding and Impact

• Leads or supports data-science projects or teams to align with business needs and deliver value.
• Brings new value to the business by leveraging your industry experience in terms of where resources and business needs should be allocated.
• Leverages extensive experience to drive best practices for discovering, implementing, and maintaining transformative data-science solutions for customers.

Data Preparation and Understanding

• Contributes and when necessary, leads data acquisition and understanding efforts for engineering projects using various tools and techniques.

Modeling and Statistical Analysis

• Develops and applies ML frameworks and best practices for scalable and ethical solutions.
• Has deep mathematical understanding of statistics and machine learning
• Incorporates best practices for ML modeling with consideration for artificial intelligence (AI) ethics.

Evaluation

• Review, supports and provides best practices for data analysis and modeling techniques.
• Ensures selected modeling techniques are appropriate and align with desired project outcomes.
• Decide on the next steps (e.g., deployment, further iterations, new projects).

Industry and Research Knowledge/Opportunity Identification

• Uses business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities.
• Develops a better understanding of work being done on team, and the work of other teams to propose potential collaboration efforts.
• Applies expertise to mitigate technical customer escalations.

Coding and Debugging

• Writes and debugs code for complex projects and leads solution development.

Business Management

• Collaborates with end customer and Microsoft internal cross-functional stakeholders to understand business needs.
• Formulates a roadmap of project activity that leads to measurable improvement in business performance metrics over time.
• Influences stakeholders to make solution improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools.

Customer/Partner Orientation

• Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
• Develops new techniques/methodologies for building solutions for a specific business need based on available data.

• Embody our