Staff Data Scientist, Apps Team

8 Hours ago • All levels

Job Summary

Job Description

As a staff data scientist, you will be responsible for building models, providing insights, evaluating product launches, finding opportunities for future development, and many more. You will partner with engineers, the product team, business leaders, designers, and other teams to bring better experiences to our users and grow the business. Engage with business teams to see opportunities, understand requirements, and translate those requirements into technical solutions. Manage large, sophisticated projects from conception to completion, identify risks and develop frameworks, evaluate impact, and regularly connect with collaborators and the leadership team. Develop, validate, and maintain advanced behavior, demographic, behavioral-based predictive models, tools, and other capabilities. Collaborate with data engineers to implement robust production decision pipelines. Collaborate with different teams to formulate innovative solutions to test and implement sophisticated data mining techniques. Measure the impact of growth initiatives for subscription businesses by improving user acquisition, conversion, and retention. Collaborate and influence other data scientist peers on modeling framework and statistical methods to uncover insights from large-scale data.

Job Details

As a staff data scientist, you will be responsible for building models, providing insights, evaluating product launches, finding opportunities for future development, and many more. You will partner with engineers, the product team, business leaders, designers, and other teams to bring better experiences to our users and grow the business. Is this you? If yes, please apply! Engage with business teams to see opportunities, understand requirements, and translate those requirements into technical solutions. Manage large, sophisticated projects from conception to completion, identify risks and develop frameworks, evaluate impact, and regularly connect with collaborators and the leadership team. Develop, validate, and maintain advanced behavior, demographic, behavioral-based predictive models, tools, and other capabilities. Collaborate with data engineers to implement robust production decision pipelines. Collaborate with different teams to formulate innovative solutions to test and implement sophisticated data mining techniques. Measure the impact of growth initiatives for subscription businesses by improving user acquisition, conversion, and retention. Collaborate and influence other data scientist peers on modeling framework and statistical methods to uncover insights from large-scale data.

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