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Remote Senior Data Scientist 🔥


Who We Are

Measured helps DTC brands grow by identifying media’s incremental contribution to business outcomes and providing a single source of truth for media investment decisions. The Measured Intelligence Suite is easy to use, enterprise-grade software that delivers automated incrementality experiments for every marketing channel and cross-channel source of truth reporting. Measured experiments are powered by a marketing data warehouse that was purpose built for analytics, providing a privacy-compliant place to store, manage and utilize valuable marketing data from across the business. Measured is a 100% remote-first company with employees located all around the world.

 

Summary

The Measured Data Science team is looking for a Data Scientist. The associate will be accessing, analyzing and interpreting sales and marketing data using predictive models based on statistics, mathematics and econometrics to infer marketing effectiveness via randomized controlled experiments, including matched market and split (A/B) tests.

 

Responsibilities 

  • Implement statistical and econometric models to estimate sales as a function of marketing and promotional activities.
  • Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations.
  • Take analytical objectives and define data requirements. Extract, clean, and transform customer and product data for purposes of analysis, modeling/segmentation and reporting.
  • Work closely with the Manager of Data Science to test experimental design systems, address data issues, and analyze experiment results.
  • Identify, develop and make recommendations for process improvements and best practices.

 

Qualifications

  • Bachelor/Master’s degree in Mathematics, Statistics, Operations Research, Computer Science, Economics, Econometrics, Industrial Engineering or other quantitative fields.
  • No work experience necessary for master’s degree holders and minimum of 3 years of related work experience in experimental designs or marketing analytics for bachelor’s degree holders.
  • Experience and proficiency in implementing statistical/econometric models and algorithms using Python or R.
  • Working knowledge of SQL.
  • Ability to translate business objectives into analytical plan/framework, conducting the analysis and interpreting data to derive insights and interpret results to develop and communicate recommendations to internal teams and clients.
  • Ability to translate results from predictive and prescriptive models into clear written and verbal communication.
  • Excellent ability to be part of multiple projects/initiatives while simultaneously meeting deadlines in a diverse environment.
  • Strong team player and ability to work independently with minimum supervision.

 

No recruiters, applicants only.

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