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Microsoft Senior Data Scientist 
Japan, Chiyoda 
942438798

17.07.2024

new solutionsa new technologyor solution is part of our work every day

Industry Solutions Engineeringthe 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 pride ourselves in making contributions to open source and making our platforms easier to use.

We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development ofbroadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineers from your team and our customers’ teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers’ toughest challenges.

Data Scientistwith deep experience in data management andin developing statistical techniques to analyze data and find patterns. As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions.

Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!

Required 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 statisticaltechniquesand reporting results)
  • ORMaster'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 statisticaltechniquesand reporting results)
  • ORBachelor'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 statisticaltechniquesand reporting results)
  • OR equivalent experience.

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 statisticaltechniquesand reporting results)
  • ORMaster'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 statisticaltechniquesand reporting results)
  • ORBachelor'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 statisticaltechniquesand reporting results)
  • OR equivalent experience.
  • Experience working as part of geographically dispersed, diverse, and virtual teams
  • Enjoy travel and are comfortable with travel up to 25%
  • Demonstrated ability to work with customers and collaborate across company boundaries
  • 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!

At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.an informal and flexible work environment andbe welcome to work in the way that best enables you to get your job done.

We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

Responsibilities
  • expertise.

Data Preparation and Understanding

  • Manages data collection and preparation for projects.

Modeling and Statistical Analysis

  • Applies machine learning solutions and algorithms to achieveobjectives, prepare and evaluate data, and communicate findings and risks. Writes scripts in various languages and understands Microsoft AI and ML tools. Designs experiments and operationalizes models at scale.Coachesjunior engineers on best practices.
  • objectives. Ensures clear linkage between selected models and desired businessobjectives. Defines and designs feedback and evaluation methods. Coaches and mentors less experienced engineers as needed. Presents results and findings to senior customer stakeholders.
  • expertise, and industry trends.


Coding and Debugging

  • Demonstrates excellent coding and debugging skills across multiple features/solutions.

Business Management

  • Drives business value by collaborating with stakeholders and improving solutions.

Customer/Partner Orientation

  • Delivers customer-oriented solutions and builds trust with Microsoft products.