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Senior Data Scientist
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About This Job
Company: MicrosoftLocation: Shinagawa
Category: Other-GeneralOverview
Do you enjoy solving problems, looking at problems through a different lens, and working
closely with customers to innovate new solutions to complex problems?

Do you jump with excitement at the opportunity to identify trends and provide unique businesssolutions?

Do you want to join a team where learning about a new technology or solution is part of ourwork every day?

The Industry Solutions Engineering (ISE) team is a global engineering organization thatworks directly with customers looking to leverage the 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 tosolve their challenges.

This work involves the development of broadly applicable, high-impact solution patterns andopen-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 toapply your skills, perspectives, and creativity to grow as engineers and help solve ourcustomers’ toughest challenges.

We are hiring a Data Scientist with deep experience in data management and expertise indeveloping statistical techniques to analyze data and find patterns.

As part of our team, you will be working side-by-side with high-impact engineers andstrategic 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, andprogram 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!
Qualifications
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 statistical techniques and reportingresults)
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.

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 reportingresults)
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 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/orconsulting 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 culturalexperiences which are vital to our success with our customers.

It’s an informal and flexible work environment and you’ll be welcome to work in the way thatbest 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.

#ISEngineering
Responsibilities
Business Understanding and Impact
Leads data-driven projects with business acumen and data science expertise.

Data Preparation and Understanding
Manages data collection and preparation for projects.

Modeling and Statistical Analysis

Applies machine learning solutions and algorithms to achieve objectives, prepare andevaluate 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.

Coaches junior engineers on best practices.

Evaluation
Understands relationship between selected models and business objectives.

Ensures clear linkage between selected models and desired business objectives.

Defines and designs feedback and evaluation methods.

Coaches and mentors less experienced engineers as needed.

Presents results and findings to senior customer stakeholders.

Industry and Research Knowledge/Opportunity Identification
Provides feedback, coaching, and support to engineering team and other teams based on
business knowledge, technical 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.
Benefits/perks listed below may vary depending on the nature of your employment with
Microsoft and the country where you work.Industry leading healthcareEducational
resourcesDiscounts on products and servicesSavings and investmentsMaternity andpaternity leaveGenerous time awayGiving programsOpportunities to network and connect

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