Senior Data Scientist at Microsoft | Seoul | Rezi

Senior Data Scientist at Microsoft

Senior Data Scientist

Microsoft · Seoul

6 days ago

Senior Data Scientist

Microsoft · Seoul

7 days ago
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About the Role

The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports complex customer engagements. EAG enhances technical capabilities and develops innovative solutions with engineering standards. We provide a consistent, high-quality customer experience through technical leadership and IP capture. We are committed to Responsible AI, helping customers build ethical, transparent, and trustworthy AI solutions. As part of Microsoft Frontier Company, we help customers achieve significant business impact through AI transformation. We are hiring a Senior Data Scientist with experience and passion for advanced statistical data analysis and implementation of data science solutions in enterprises. You'll work with high-impact professionals to solve complex problems for strategic customers and partners. You'll communicate trends and innovative solutions and collaborate cross-functionally within the Microsoft ecosystem.

Responsibilities

  • Guides and ensures good practice on engagements that employ data science to align with business needs and deliver value.
  • Provides thought leadership and guidance to stakeholders on integrating AI and ML into systems development.
  • Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.
  • Develops and applies ML frameworks and best practices for scalable and ethical solutions.
  • Oversees review of data analysis and modelling techniques, ensuring alignment with project outcomes.
  • Decides on next steps for data analysis and modeling projects.
  • Provides feedback, drives improvement, and shares knowledge as a data science expert.
  • Contributes to team learning by introducing relevant and leading-edge concepts.
  • Writes efficient, readable, extensible code from scratch.
  • Develops technical expertise in modeling, coding, and debugging techniques.
  • Understands the causes of common defects and uses best practices to prevent them.
  • Collaborates with customers and internal stakeholders to understand business needs.
  • Formulates a roadmap of project activity for measurable business performance improvement.
  • Applies a customer-oriented focus by understanding customer needs and perspectives.
  • Promotes and ensures customer adoption by delivering model solutions and supporting relationships.
  • Embodies team culture and values.

Requirements

  • Minimum of 8 years (with Bachelor's/Master's) or 5 years (with Doctorate) of experience as a data scientist implementing data science solutions.
  • Experience in implementing projects in one or more areas: Agentic AI, GenAI, AI native development, Computer Vision, LLMs, Audio/Voice data processing, and Reinforcement Learning.
  • Consulting experience.
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Engineering or related field AND data-science experience and consulting experience.
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Engineering or related field AND data-science experience and consulting experience.
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Engineering or related field AND consulting experience.
  • Equivalent experience.
  • Business language proficiency in both Korean and English.
  • Comfortable interacting with external customers.
  • Able to manage a complicated internal stakeholder group.
  • Hands-on software engineering experience (e.g. Python, C++).
  • Proven skills and experience in a data science role.
  • Familiarity with building and deploying large-scale AI solutions into production within a cloud environment.
  • Experience in working with MLOps, LLMOps, AgentOps and frameworks like LangChain, Semantic Kernel and MCP.
  • Experience of working with customers directly and independently, from solutioning to production deployment.
  • Experience designing AI Skills (Skill.md or equivalent capability definitions) for Agentic AI solutions.

Skills

  • Data Science
  • Advanced statistical data analysis
  • Implementation of data science solutions
  • Agentic AI
  • GenAI
  • AI native development
  • Computer Vision
  • LLMs
  • Audio/Voice data processing
  • Reinforcement Learning
  • Consulting
  • Data preparation
  • Data acquisition
  • ML frameworks
  • Ethical AI
  • Responsible AI
  • MLOps
  • LLMOps
  • AgentOps
  • LangChain
  • Semantic Kernel
  • MCP
  • Python
  • C++
  • AI Skills design

Experience Level

  • Senior

Education Level

  • Bachelor's Degree
  • Master's Degree
  • Doctorate

About the Company

  • The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports our most complex and leading-edge customer engagements.
  • EAG enhances ISD’s technical capabilities, and partners with others to develop approaches, innovative solutions with engineering standards to set our sales and delivery teams up for success.
  • We provide consistent high-quality customer experience through technical leadership and IP capture centered on delivery truth.
  • We are committed to Responsible AI, and we help our customers and partners build ethical, transparent and trustworthy AI solutions.
  • As part of Microsoft Frontier Company, we are helping customers achieve significant business impact through AI transformation.
  • Our team embraces a growth mindset and encourages diverse viewpoints.
  • We value personal and cultural experiences and strive for excellence.
  • We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact billions worldwide.

Equal Opportunity

  • Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
  • If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.