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Job Description:

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.

Skills:

Experienced in either programming languages such as SQL/Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
Experience with building data pipelines
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
Experience working with large datasets.

Key Projects/Day-to-Day Responsibilities:

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Working with AI team and measuring advertising performance.

Must-Have Skills:

Experience with building data pipelines and working with large datasets.
Experienced in either programming languages such as SQL/Python and big data tools such as Hadoop, or data visualization tools such as Tableau.
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.

Nice-to-have Skills: