Data Scientist
枫国宏利信息科技服务(成都)有限公司
- 公司规模:500-1000人
- 公司性质:外资(欧美)
- 公司行业:金融/投资/证券 计算机服务(系统、数据服务、维修)
职位信息
- 发布日期:2024-09-06
- 工作地点:成都·高新区
- 工作经验:5年及以上
- 学历要求:本科
- 职位月薪:1.8-2.4万·13薪
- 职位类别:Data Scientist
职位描述
工作职责
Individual Accountabilities:
61 Determine the source of the data, coordinate extraction and acquisition
61 Explore and discover new data sources, and transform raw data extract through profiling, cleaning, mapping and validation with expert resources
61 Assess data quality, identify gaps in the data and eliminate irrelevant data
61 Provide summary statistics of key performance metrics and other measures deemed significant business units
61 Perform multivariate analysis, predictive modelling, cluster, market basket analysis using sophisticated statistical techniques
61 Apply advanced analytics techniques to reveal actionable insights and drive revenue or efficiency campaigns
61 Present and visualize the data with the relevant use of graphs and charts in business intelligence clients (e.g. Qlikview)
61 Coordinate and manage data analytics activities with stakeholders
61 Support ad-hoc requests for data analysis from stakeholders
任职资格
Job Requirements:
61 Bachelor’s degree in Statistics, Mathematics, Engineering, Operations Research, Computer Science, Information Technology or related fields. University graduates are encouraged to apply.
61 Up to 5 years work experience in related fields is an advantage but not required
61 Knowledge of descriptive statistics, and use of appropriate charts and visuals for effective reporting
61 Knowledge of R, Python, SAS, Stata, Matlab, SPSS or other related statistical packages
61 Knowledge of machine learning/predictive analytics such as time-series forecasting, regression (linear, GLM, etc.), decision trees, random forests, basket analysis, etc.
61 Knowledge of evaluating success of predictive models, both for classification (e.g. Percent Correct Classification, confusion matrix, lift, gain, Receiver Operating Characteristic and Area Under the Curve) and continuous (R-squared, average error, mean squared error, median error, average absolute error, median absolute error) models
61 Advanced knowledge of Microsoft Excel features such as pivot tables, pivot charts, filters, and functions
61 Knowledge of Microsoft SQL and other relational databases preferred but not required
61 Excellent oral and written communication skills
61 Strong analytical and problem solving skills
61 Highly collaborative and results-oriented
Individual Accountabilities:
61 Determine the source of the data, coordinate extraction and acquisition
61 Explore and discover new data sources, and transform raw data extract through profiling, cleaning, mapping and validation with expert resources
61 Assess data quality, identify gaps in the data and eliminate irrelevant data
61 Provide summary statistics of key performance metrics and other measures deemed significant business units
61 Perform multivariate analysis, predictive modelling, cluster, market basket analysis using sophisticated statistical techniques
61 Apply advanced analytics techniques to reveal actionable insights and drive revenue or efficiency campaigns
61 Present and visualize the data with the relevant use of graphs and charts in business intelligence clients (e.g. Qlikview)
61 Coordinate and manage data analytics activities with stakeholders
61 Support ad-hoc requests for data analysis from stakeholders
任职资格
Job Requirements:
61 Bachelor’s degree in Statistics, Mathematics, Engineering, Operations Research, Computer Science, Information Technology or related fields. University graduates are encouraged to apply.
61 Up to 5 years work experience in related fields is an advantage but not required
61 Knowledge of descriptive statistics, and use of appropriate charts and visuals for effective reporting
61 Knowledge of R, Python, SAS, Stata, Matlab, SPSS or other related statistical packages
61 Knowledge of machine learning/predictive analytics such as time-series forecasting, regression (linear, GLM, etc.), decision trees, random forests, basket analysis, etc.
61 Knowledge of evaluating success of predictive models, both for classification (e.g. Percent Correct Classification, confusion matrix, lift, gain, Receiver Operating Characteristic and Area Under the Curve) and continuous (R-squared, average error, mean squared error, median error, average absolute error, median absolute error) models
61 Advanced knowledge of Microsoft Excel features such as pivot tables, pivot charts, filters, and functions
61 Knowledge of Microsoft SQL and other relational databases preferred but not required
61 Excellent oral and written communication skills
61 Strong analytical and problem solving skills
61 Highly collaborative and results-oriented
公司介绍
财富全球500强——宏利金融(Manulife Financial)成立于1887年,总部位于加拿大多伦多,一直专注于为个人和企业客户提供金融保险和财富管理产品服务,客户遍及加拿大、美国和亚洲的22个国家和地区,拥有员工3万余名,是全球领先的金融服务集团。1999年,宏利金融分别在纽约、多伦多、菲律宾和中国香港四地上市。2015年全球财富500强宏利金融全球排名第212位。
宏利金融成都,全称宏利金融全球服务(成都)中心,成立于2010年3月,是加拿大宏利金融(Manulife Financial)旗下全资子公司,我们为宏利集团内成员公司提供IT开发、IT支持、数据处理、财务分析、核保理赔、呼叫中心等服务。
宏利金融按照安全、舒适、健康的标准,予以设置优越的办公环境(公司在办公场所为员工提供免费的茶水包和咖啡,供员工自由取用)。宏利金融严格按照劳动法规定为每位员工提供全额的五险一金、双休及各种假期,并提供补充商业保险,餐补和交补,10天带薪年假,带薪病假,年度体检,生日礼物及节假日福利,年度旅游,丰富多彩的员工活动,专业的技术和管理培训。
欢迎加入宏利金融!
宏利金融成都,全称宏利金融全球服务(成都)中心,成立于2010年3月,是加拿大宏利金融(Manulife Financial)旗下全资子公司,我们为宏利集团内成员公司提供IT开发、IT支持、数据处理、财务分析、核保理赔、呼叫中心等服务。
宏利金融按照安全、舒适、健康的标准,予以设置优越的办公环境(公司在办公场所为员工提供免费的茶水包和咖啡,供员工自由取用)。宏利金融严格按照劳动法规定为每位员工提供全额的五险一金、双休及各种假期,并提供补充商业保险,餐补和交补,10天带薪年假,带薪病假,年度体检,生日礼物及节假日福利,年度旅游,丰富多彩的员工活动,专业的技术和管理培训。
欢迎加入宏利金融!
联系方式
- 公司地址:天府软件园E区E8-1座6楼
- 联系人:刘女士