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Shanghai
Digital
Full - Time
21-Oct-2020
About the Role
The tech hub will work on strategic use cases which focus on data, AI, machine learning and cover scopes from operations
to digital. The data scientist position is a new role and important for the tech hub. This is a great opportunity to create real value from data, working with new and innovative programs.

Tasks
•Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
•Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
•Assess the effectiveness and accuracy of new data sources and data gathering techniques.
•Develop custom data models and algorithms to apply to data sets.
•Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
•Develop company A/B testing framework and test model quality.
•Coordinate with different functional teams to implement models and monitor outcomes.
•Develop processes and tools to monitor and analyze model performance and data accuracy.

Profile
•Coding knowledge and experience with several languages: C, C++, Java, JavaScript , Python
•Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
•Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
•Experience using web services: Redshift, S3, Spark, DigitalOcean , Azure, Alicloud etc
•Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
•Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics , Adwords , Crimson Hexagon, Facebook Insights,
•Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi , MySQL, etc.
•Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot , etc.

Qualifications
•Coding knowledge and experience with several languages: C, C++, Java, JavaScript, Python etc.
•Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
• Experience using web services: Redshift, S3, Spark, DigitalOcean ,
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics , Adwords , Crimson Hexagon, Facebook Insights,
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi , MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot , etc
• We’re looking for someone with 5 7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field.