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Senior Data Scientist

Responsibilities:

  • Using available data to address business questions or concerns. If a question requires additional data, work with engineers to create the required data.

  • Serving as a resource for senior business (internal) customers, educate the firm on methodologies and define firm data requirements.

  • Using data to develop and present recommendations on improving advertising ROI, measuring client profitability or answering business questions on optimizing marketing spend.

  • Use data mining, model building or other analytical techniques to develop and maintain client segments.

  • Lead the definition and implementation of ads quality metrics and user experience metrics.

  • Other responsibilities, as requested.

Minimum Qualifications

  • Degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent experience.

  • 3+ years’ experience doing quantitative analysis or statistical modeling

  • Experience extracting and manipulating large datasets

  • Development experience in any scripting language (PHP, Python, Perl, etc.)

  • Knowledge of at least one modeling framework (e.g., SciKit Learn, TensorFlow, SAS, R, MATLAB)

  • Highly proficient in spoken and written English





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