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职位描述
美国各地各种未预见的工作地点的经理(总部:伊利诺伊州芝加哥)。通过管理数据科学家顾问团队,负责抵押贷款和租户筛查业务的分析服务运营。设计和开发软件以挖掘大数据集并开发预测评分模型。通过开发统计模型(包括决策树和评分卡)预测风险和营销结果。使用 SQL 和 Tableau 等数据查询软件生成洞察。根据市场和经济环境的预测变化,向客户推荐政策和账户变更。开发和部署用于整理授权住宅住房数据的软件,并利用整理后的数据创建衍生产品。为下属提供培训和指导。技术环境:SQL、R、SAS、Python(Scipy、pandas、numpy、Ipython)、Microsoft SQL Server、Microsoft Access、Tableau、Spotfire、Knime、Alteryx、回归分析、分类、决策树。
职位要求
- 计算机科学、管理信息系统、商业分析或相关领域的硕士学位,加上 2 年在该职位上的经验,作为顾问或统计数据分析建模者。必备技能:SQL、R、SAS、Python(Scipy、pandas、numpy、Ipython)、Microsoft SQL Server、Microsoft Access、Tableau、Spotfire、Knime、Alteryx、回归分析、分类、决策树。允许远程办公。(*计算机科学、管理信息系统、商业分析或相关领域的学士学位,加上 5 年在该职位上的渐进式经验,作为顾问或统计数据分析建模者也可接受)。根据适用法律,包括洛杉矶县公平机会条例、旧金山公平机会条例、公平招聘倡议条例和加州公平机会法案,符合条件的有逮捕或定罪记录的申请人将被考虑雇佣。
遵守公司政策,具备良好的判断力和诚信,安全工作,尊重沟通,保护业务运作、机密和专有信息以及公司的声誉也是该职位的重要期望。
最初发布于喜马拉雅山
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Job Description
Managers for various and unanticipated worksites throughout the US (HQ: Chicago, IL). Manage analytical service operations for mortgage and tenant screening businesses by overseeing a team of data scientist consultants. Design and develop software to mine large datasets and develop predictive scoring models. Predict risk and marketing outcomes by developing statistical models, including decision trees and scorecards. Generate insights using data query software such as SQL and Tableau. Recommend policy and account changes to customers in response to predicted changes in market and economic environments. Develop and deploy software for compiling licensed residential housing data and use compiled data to create derivative products. Provide training and mentorship to direct reports. Technical Environment: SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis, Classification, Decision Trees.
Job Requirements
- Master’s degree in Computer Science, Management Information Systems, Business Analytics, or a related field plus 2 years of experience in the job offered, as a Consultant, or in Statistical Data Modeling required. Required skills: SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis, Classification, Decision Trees. Telecommuting permitted. (*Bachelor’s degree in Computer Science, Management Information Systems, Business Analytics, or a related field plus 5 years of progressive experience in the job offered, as a Consultant, or in Statistical Data Modeling also acceptable).Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.
Originally posted on Himalayas