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Data Scientist
1.8-2.4万·13薪
人 · 本科 · 5年及以上工作经验 · 性别不限2024/09/06发布
五险一金员工旅游专业培训补充医疗保险补充公积金交通补贴餐饮补贴通讯补贴年终奖金定期体检

天府软件园C区C11座6楼

公司信息
枫国宏利信息科技服务(成都)有限公司

外资(欧美)/500-1000人

该公司所有职位
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

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招聘信息 > 成都招聘 > 数据招聘 > 成都数据建模工程师招聘

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