Data Scientist Manager

Asset Publisher

Job Descriptions:

Collaborate with business teams to understand the business problems and expectations, identify potential use cases that can be supported by data science/advanced analytics
Define detailed scope for identified use cases, size the business impact, propose appropriate modelling techniques, design pilot plan to test model performance in real business environment
Establish a data-driven use case evaluation & prioritization framework, including identify & address the hurdles
Build a funnel of exploratory initiatives, with well-understood strategic intent (but no immediate ROI requirement) to generate valuable learnings for future business opportunities
Lead data scientists/team members in execution of data-driven use cases and proactively communicate work progress to business/stakeholders
Ensure detailed deployment and implementation of data science project, deliver end-to-end solutions within timeline
Measure the impact of data-driven use cases by working with business teams and establish appropriate measurement framework/guidelines
Regularly control the performance of data science models and set up a procedure/framework for model retraining/switch.

Requirements:

Minimum S1 with background Mathematics / Statistics / Computer Science
Minimum of 3 years experience in leading/managing Data Science team, Data Management and Advanced Analytics
Strong programming and scripting skills (Python, R, Spark,etc)
Good understanding of machine learning techniques and algorithms
Good applied statistics and experimental design skills, such as distributions, statistical testing, control/test planning, etc
Good experience with common data science toolkits (Jupyter notebook, Scikit-learn, Pandas, Numpy, etc)
Good understanding of big data infrastructure and query languages (HDFS, SQL, Hive,etc)

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