Senior Data Scientist at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, Cloud Platforms, Responsible AI, Statistical Techniques, Project Delivery, Stakeholder Engagement, Software Engineering, Version Control, CI/CD, Production Deployment, AI-assisted Coding, Specification-driven Development

Industry

Software Development

Description

Business Understanding & Impact Own delivery of complex, high-impact data science solutions for strategic engagements. Collaborate with stakeholders to define business problems and translate them into actionable solutions. Develop project plans, assess risks, and ensure alignment with strategic objectives. Build and deploy predictive and prescriptive models using modern machine learning techniques. 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) 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. 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. Proven consulting and stakeholder engagement skills with proven ability to influence decisions. Proficiency in Python and SQL; experience with cloud platforms (Azure preferred). Knowledge of Responsible AI principles and ethical data practices. Experience with broader software engineering lifecycle practices, including version control, testing, CI/CD, and production deployment of ML solutions. . Experience with AI-assisted coding practices and specification-driven development.

Responsibilities

Own delivery of complex, high-impact data science solutions for strategic engagements. Collaborate with stakeholders to define business problems and translate them into actionable solutions.