Duties and Responsibilities:

1. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions;

2. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies;

3. Assess the effectiveness and accuracy of new data sources and data gathering techniques;

4. Develop custom data models and algorithms to apply to data sets;

5. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes;

6. Develop company A/B testing framework and test model quality;

7. Coordinate with different functional teams to implement models and monitor outcomes;

8. Develop processes and tools to monitor and analyze model performance and data accuracy.

Requirements:

1. Strong problem solving skills with an emphasis on product development;

2. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets;

3. Experience working with and creating data architectures;

4. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks;

5. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications;

6. Excellent written and verbal communication skills for coordinating across teams;

7. A drive to learn and master new technologies and techniques;

8. 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, and is familiar with the following software/tools:

? Coding knowledge and experience with several languages: C, C++, Java;

? JavaScript, 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, SLQ, etc;

? Experience using web services: Redshift, S3, Spark, DigitalOcean, 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, etc;

? 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.

Staff Welfare:

1. After on boarding, providing supplementary commercial insurance besides the state-stipulated insurance and housing fund;

2. Fast and transparent promotion channel and broad development opportunities;

3. 5-15 days paid annual leave and 5 days paid sick leave. Free annual physical check-up;

4. Attractive employee activities.

上班地址：天津市和平区赤峰道136号天津国际金融中心