深圳招聘

Key responsibilities

• Analyze raw data: sourcing data from existing multiple DWH, assessing quality, cleansing, structuring for downstream processing;
• Identify new potential data sources: value of new data, integrating into analysis, assessing data readiness for automation and optimisation;
• Design, build and maintain efficient predictive solutions, full cycle: business case, data preparation, modelling, deploymenttoproduction;
• Collaborate with business / operations / IT / etcteam to scale analytical prototypes to production;
• Monitor performance of the deployed models and fine tune when needed;
• Collaborate with business teams to define new requirements or changes related to advanced analytics solutions;
• Educate business users to understand the relevance of specific data and analytical approach; communicate on best practices;
• Work on teams with business/functional stakeholders to help make data driven decisions;
• Conducts advanced data analysis and complex designs algorithm;

Qualifications and competencies:

• Advanced degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field;
• Solid 5+ year’s professional experience in consumer data analysis and data mining;
• Ability to work on complex projects from model design to deployment;
• Extensive experience working with large datasets -structured and unstructured;
• Strong database technologies like Hive SQL, SQL Server, mySQLis a must.
• Ability to program and review code in Python, Spark, Scala, R is highly desirable;
• Proven track record of overseeing multiple data science and machine learning projects at all stages, from idea generation to objectives formulation to implementation and deliverables;
• Desire to work in a highly-collaborative environment;
• Ability to work on multiple data science projects concurrently;
• Excellent communication skill and ability to work collaboratively in a dynamic environment;

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