分析与建模经理 | 数据科学家
Analytics and Modeling Manager | Data Scientist
Analytics: 从预测性统计建模活动中创建新见解，以针对并为客户创造价值。
汇报对象：分析与建模高级经理
职位概述：该职位专注于提供高级分析服务。
主要职责：
- 在不同行业中领导战略性高级分析解决方案的交付
- 为符合客户特定需求的业务问题提供分析见解和解决方案
- 通过成熟度评估和一次性分析项目，在运营转型项目中利用分析
- 通过数据分析、文本分析和统计建模，支持运营进行基于事实的决策、根本原因分析和战略举措
- 采用多种项目执行方法
- 将现有资产适配到运营用例中
- 探索第三方和开源解决方案，以加快执行速度并满足特定用例
- 参与基础研究，开发新解决方案
- 与来自公司全球各地的数据科学家、领域专家、销售和交付团队合作，从设计到执行交付战略性高级分析项目
- 建立并管理至少两个塔楼的分析团队
教育与经验要求：
- 统计学、数学、计算机科学、经济学、物理学、工程学或相关科学领域的硕士或博士学位
- 至少10年相关行业（金融服务、网络、公用事业、医疗保健、市场营销、制药、零售等）的工作经验——有处理数据驱动决策的实际经验
- 在统计建模、机器学习、数据挖掘、非结构化数据分析方面在企业或学术研究环境中的经验
- 精通统计工具/语言，例如 R、S-plus、SAS、STATA、Python、C、C++、Java、Scala
- 熟悉关系型数据库，具备中等水平的 SQL 知识
- 在以下至少一个领域有实际经验：可靠性模型、马尔可夫模型、随机模型、贝叶斯建模、分类模型、聚类分析、神经网络、非参数方法、多元统计
- 具备学习能力，创造性地解决现实世界中的业务问题，并在跨文化协作团队中工作
- 英语口语和书面沟通能力熟练
加分项：
- 有开发和交付机器学习系统的实际经验
查看英文原文
Analytics:Create new insights from predictive statistical modeling activities thattarget and deliver value to our clients.
Reports to: Analytics and Modeling Senior Manager
General role description: The function focuses ondelivering advanced analytics as a service.
Primary Job Responsibilities:
- Leads the delivery of strategic advancedanalytics solutions across different industries
- Provide analytics insights and solutions tosolve business problems that are specific to client requirements
- Leverage analytics within transformationprojects in operations through maturity assessments and one-time analyticsprojects
- Support operations in fact-based decisionmaking, RCA and strategic initiatives through data analysis, text analysis andstatistical modeling.
- Follow multiple approaches for project execution
- Adapt existing assets to Operations use cases
- Explore third-party and open source solutionsfor speed to execution and for specific use cases
- Engage in fundamental research to develop novelsolutions
- Collaborate with other data scientists, subjectmatter experts, sales, and delivery teams from company locations around theglobe to deliver strategic advanced analytics projects from design toexecution.
- Build and manage analytics team for at least twotowers
Education & Experience Requirements:
- Master’s or Ph.D. degree in Statistics,Mathematics, Computer Science, Economics, Physics, Engineering, or relatedscientific disciplines
- Work experience of at least 10 years in relevantindustries (Financial Services, Network, Utilities, Health Care, Marketing,Pharma, Retail etc.) – with hands on experience handling data-driven decisions
- Experience in statistical modeling, machinelearning, data mining, unstructured data analytics in corporate and/or academicresearch environments
- Expert in statistical and other tools/ languages– e.g. R, S-plus, SAS, STATA, Python, C, C++, Java, Scala
- Familiarity with relational databases andintermediate knowledge of SQL
- Proven background in at least one of thefollowing: Reliability models, Markov Models, Stochastic Models, BayesianModelling, Classification Models, Cluster Analysis, Neural Network,Non-parametric methods, Multivariate statistics
- Aptitude to learn, think creativity to solvereal world business problems, and work in a global collaborative teamenvironment
- Proficient verbal and written communicationskills in English
Nice to Have:
- Hands on experience in developing and deliveringmachine learning models that work in a production setting
- Experience working with large data sets andtools like MapReduce, Hadoop, Hive, etc. and large data streaming technologieslike Spark, Flink, etc.
- Experience in any of these domains:Infrastructure Services, Security, Retail, Digital Marketing, eCommerce,Insurance, Supply Chain, Banking, Capital Markets, etc.
Functional Skills Required:
- The knowledge and ability required to design,develop and deliver people and process solutions for clients and company. Aspecific knowledge and ability typically needed to fulfil responsibilitiesassociated with work done and consistent with a talent segment and role.
·Has mastered the following skills:
oBusiness Analysis, Requirements Gathering
oAnalytics Solutions Design Skills
oStakeholder Management Skills
oProject Management Skills
oStory Telling or Communication Skills
oCritical Thinking and Problem-Solving Skills
- Technical Skills Required:
The knowledge and ability required to design,develop and deliver IT, platform, architecture, software and infrastructuresolutions for clients.
- Has advanced technical skills on the ff:
oData Visualization and Business Intelligence
oData Mining knowledge
oData Management
·Has expert technical skills on the ff:
oAnalytical Skills (statistical analysis, datatransformation, descriptive/predictive/prescriptive analytics)
oModeling and Algorithm Building
oAnalytics Solutions Design
oModeling Tools like R and Python
Domain and Industry Specialization:
- The knowledge and ability required to influenceour clients’ business agenda and generate value in the context of theindustries in which they operate.
·Cross-industry Knowledge – APPLIED
·Cross-domain Knowledge – MASTERED
Leadership Skills Required:
·Innovate for Results
·Advocate a compelling vision
·Collaborate across ecosystem
·Execute with Agility
·Personalize in a truly human way
Originally posted on Himalayas