Consultant (职位编号：1016732)
微软销售市场和服务集团 （SMSG）
- 公司规模：1000-5000人
- 公司性质：外资(欧美)
- 公司行业：计算机软件
职位信息
- 发布日期：2019-08-01
- 工作地点：北京
- 招聘人数：1人
- 工作经验：无工作经验
- 学历要求：博士
- 职位类别：专业顾问
职位描述
Job # 1016732
Locations China, Beijing
Job families Consulting services
Teams Consulting services
Intro
Enterprise Services Delivery (ESD) is a newly formed, worldwide organization. Data Insights is one of the five core technical domains that have been formed. Analytics and Insights play a critical role in realizing our overall company strategy of the intelligent cloud. Data Insights domain is chartered to build the capability to help our top enterprise customers derive the true value from data through cutting edge solutions.
As part of the Data Insight domain we are growing our data science practice. We are looking for scientists who are passionate about data and want to apply machine learning techniques to solve real-world problems for enterprises and public sector organizations.
You will help develop capabilities for predictive modeling, text and image mining, recommendations, clustering, anomaly detection, forecasting methods, deep learning and other advanced statistical techniques. You will work on all aspects of the design, development and delivery of machine learning enabled solutions including problem definition, data acquisition, data exploration and visualization, feature engineering, experimenting with ML algorithms, evaluating and comparing metrics, deploying the models, iteratively improving the solution, building the tools for this process etc.
You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and various formats including tabular, image/video, audio, text and time series. In this role, you will interact with a team of experts in machine learning, distributed systems, program management and partner product teams, on the vision, scenario/feature planning, execution and delivery of scalable solutions as a cloud service.
Responsibilities
• Collaborate with end customer and Microsoft internal cross-functional stakeholders to understand their business needs. Formulate a roadmap of project activity that leads to measurable improvement in business performance metrics/key performance indicators (KPIs) over time.
• Conduct end-to-end analysis that includes data gathering and requirements specification, analysis, ongoing scaled deliverables and presentations.
• Architect, develop and automate Business Intelligence (BI) and analytics solutions. Iteratively build and prototype dashboards to provide insights at scale.
• Make business recommendations (cost-benefit, invest-divest, forecasting, impact analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Develop comprehensive understanding of data structures and metrics, advocating for changes where needed.
Qualifications
• A PhD in an data-related discipline.
• Previous experience as a Project Leader or Project Scientist for data-driven projects, or demonstrated potential from other leadership roles to assume such a role.
• Demonstrated knowledge of data services and/or previous research experience involving extensive use of such services.
• Ability to engage and build relationships across a range of stakeholder groups and technical project teams.
• The ability to work effectively as a member and leader of a regionally dispersed project team to provide the high level specifications, communications and science leadership needed to ensure that project deliverables are met.
Role Specific Characteristics May Include
• Background in Computer Science, Electrical Engineering, Statistics, Physics, Mathematics, Operations Research or equivalent technical field
• Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval.
• Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains.
• Software development skills in one or more high level languages (C#/C/C++/Java/F#), one or more scripting languages (Python/Perl/Shell), knowledge of R. Expertise any of the common ML tools (Weka, R, RapidMiner, KNIME, Scikit Learn, SAS, SPSS, ModelBuilder etc.) is a plus.
• Ability to build production grade machine learning enabled solutions end to end.
Employment Disclaimer
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.
Locations China, Beijing
Job families Consulting services
Teams Consulting services
Intro
Enterprise Services Delivery (ESD) is a newly formed, worldwide organization. Data Insights is one of the five core technical domains that have been formed. Analytics and Insights play a critical role in realizing our overall company strategy of the intelligent cloud. Data Insights domain is chartered to build the capability to help our top enterprise customers derive the true value from data through cutting edge solutions.
As part of the Data Insight domain we are growing our data science practice. We are looking for scientists who are passionate about data and want to apply machine learning techniques to solve real-world problems for enterprises and public sector organizations.
You will help develop capabilities for predictive modeling, text and image mining, recommendations, clustering, anomaly detection, forecasting methods, deep learning and other advanced statistical techniques. You will work on all aspects of the design, development and delivery of machine learning enabled solutions including problem definition, data acquisition, data exploration and visualization, feature engineering, experimenting with ML algorithms, evaluating and comparing metrics, deploying the models, iteratively improving the solution, building the tools for this process etc.
You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and various formats including tabular, image/video, audio, text and time series. In this role, you will interact with a team of experts in machine learning, distributed systems, program management and partner product teams, on the vision, scenario/feature planning, execution and delivery of scalable solutions as a cloud service.
Responsibilities
• Collaborate with end customer and Microsoft internal cross-functional stakeholders to understand their business needs. Formulate a roadmap of project activity that leads to measurable improvement in business performance metrics/key performance indicators (KPIs) over time.
• Conduct end-to-end analysis that includes data gathering and requirements specification, analysis, ongoing scaled deliverables and presentations.
• Architect, develop and automate Business Intelligence (BI) and analytics solutions. Iteratively build and prototype dashboards to provide insights at scale.
• Make business recommendations (cost-benefit, invest-divest, forecasting, impact analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Develop comprehensive understanding of data structures and metrics, advocating for changes where needed.
Qualifications
• A PhD in an data-related discipline.
• Previous experience as a Project Leader or Project Scientist for data-driven projects, or demonstrated potential from other leadership roles to assume such a role.
• Demonstrated knowledge of data services and/or previous research experience involving extensive use of such services.
• Ability to engage and build relationships across a range of stakeholder groups and technical project teams.
• The ability to work effectively as a member and leader of a regionally dispersed project team to provide the high level specifications, communications and science leadership needed to ensure that project deliverables are met.
Role Specific Characteristics May Include
• Background in Computer Science, Electrical Engineering, Statistics, Physics, Mathematics, Operations Research or equivalent technical field
• Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval.
• Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains.
• Software development skills in one or more high level languages (C#/C/C++/Java/F#), one or more scripting languages (Python/Perl/Shell), knowledge of R. Expertise any of the common ML tools (Weka, R, RapidMiner, KNIME, Scikit Learn, SAS, SPSS, ModelBuilder etc.) is a plus.
• Ability to build production grade machine learning enabled solutions end to end.
Employment Disclaimer
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.
职能类别： 专业顾问
公司介绍
微软本着与合作伙伴共同成长、共同发展的宗旨深入开拓中国本地市场。作为一家软件平台厂商，微软通过合作伙伴业务模式，努力促进信息技术产业生态系统的建设。我们通过合作伙伴把微软的产品和服务送到用户手中，通过合作伙伴基于微软的平台开发丰富的、最适合中国市场的应用产品和解决方案来满足用户的需求。
微软与政府有关部门及其他机构合作，积极推动缩小数字鸿沟，以帮助各层次、各地区的人们实现自己的最大潜能。多年来，无论是开展“携手助学”支持农村和边远地区教育、推进“农村信息化”建设让农民通过信息技术脱贫致富，还是实施“潜力无限”项目，合作成立社区学习中心，扶助弱势人群，都体现了我们致力于成为优秀企业公民的不懈努力。
微软通过开发众多的软件产品和服务并提供相应的生产、授权和支持，向用户传递商业价值。目前，微软在中国业务涉及Windows客户端、服务器平台和开发工具、信息工作者产品、微软商务管理解决方案、移动及嵌入式设备、MSN和家庭消费及娱乐产品等七个方面。
欢迎浏览公司网站：http://www.microsoft.com/china
微软与政府有关部门及其他机构合作，积极推动缩小数字鸿沟，以帮助各层次、各地区的人们实现自己的最大潜能。多年来，无论是开展“携手助学”支持农村和边远地区教育、推进“农村信息化”建设让农民通过信息技术脱贫致富，还是实施“潜力无限”项目，合作成立社区学习中心，扶助弱势人群，都体现了我们致力于成为优秀企业公民的不懈努力。
微软通过开发众多的软件产品和服务并提供相应的生产、授权和支持，向用户传递商业价值。目前，微软在中国业务涉及Windows客户端、服务器平台和开发工具、信息工作者产品、微软商务管理解决方案、移动及嵌入式设备、MSN和家庭消费及娱乐产品等七个方面。
欢迎浏览公司网站：http://www.microsoft.com/china