Microsoft Senior Data Scientist 

Taiwan, Taoyuan City 

745136096

new solutionsa new technology

TheIndustry Solutions Engineering (ISE)and data scientists

broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineersand data scientistsand data scientists

and employingand machine learningtechniques toand data scientistsand strategic customers to solve complex problems. You will work cross-functionally with several teams includingsoftware engineersdata scientists,

Industry Solutions Engineering (ISE)

経験豊富なを募集しています。チームの一員として、エンジニアや

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., applying statistical techniques,buildingand evaluating machine learning models, deploying models to production,maintainingmodels in productionand reporting results)

• 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., applying statistical techniques,buildingand evaluating machine learning models, deploying models to production,maintainingmodels in productionand reporting results)

• 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., applying statistical techniques,buildingand evaluating machine learning models, deploying models to production,maintainingmodels in productionand reporting results)
• OR equivalent experience.

• Business level Japanese and English language skills.

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., ,applying statistical techniques,buildingand evaluating machine learning modelsand reporting results)

• 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., applying statistical techniques,buildingand evaluating machine learning models, deploying models to production,maintainingmodels in productionand reporting results)

• 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., applying statistical techniques,buildingand evaluating machine learning models, deploying models to production,maintainingmodels in productionand 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.

• + years customer-facing, project-delivery experience, professional services, and/or consulting experience.

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.

• the adoption ofgood practice on engagements that employ data science to align with business needs and deliver value.Can articulate theobjective

• Works closely withsoftware engineering and business stakeholders ontasks toinclude artificial intelligence and machine learning in systems development.Contributes to theprioritisation of work to be undertaken in the engagement.

Data Preparation and Understanding:

• data necessary for successful completion of the project plan.Proactively detects changes and communicates these to engagement leadership.

• Builds usable data sets and assets for modelling purposesand contributes to the building of repeatable processes and pipelines to support data acquisition.

• related to the collection and preparation of datasets.

and Statistical Analysis:

• Has deepanddemonstratedunderstanding ofmachine learning techniques,including thealgorithmsand modelling techniquesused to deploy production grademachine learning and artificial intelligence solutions.

• Demonstrated experience evaluating and selecting from multiple modelling approaches and automation of these solutions.

• Employsappropriatedataanalysis andmodellingtechniques. Ensures selectedmodellingtechniques areappropriateand align with desired project outcomes.

• Provides feedback, drives improvement, and shares knowledge as a data sciencepractitioner.Contributes to ongoing team learning by bringing relevant andleading edgeconcepts and approaches to theteams

Coding and Debugging:

• Leads by example in contributing code, artefacts, and guidance during the execution of engagements. Writes and debugs code for complex projects.Delivers production quality code in association with software engineers.Employsappropriate approachestoconsidering security throughout an engagement.

• Has a good grasp and ability to apply core software engineering principals.

• Coaches andmentorsjunior data scientists.

• feasible

• You will embody ourand.