Sr. 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.

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. Be an internal expert in experimental design and its applications to causal inference in marketing effects measurement.

• Work closely with Principal Data Scientists and the VP of Data Science to research and develop models methodology and technology that enables more efficient marketing/promotion decisions in support of product roadmaps.

• Take analytical objectives and define data requirements. Extract clean and transform customer and product data for purposes of analysis modeling/segmentation and reporting.

• Identify develop and make recommendations for process improvements and best practices; own implementation of recommendations required.

Qualifications

• Master/PhD in Mathematics Statistics Operations Research Computer Science Economics Econometrics Industrial Engineering or other quantitative fields.

• No work experience necessary for PhDs with relevant academic background and minimum of 3 years of related work experience in experimental designs or marketing analytics for master’s degree holders.

• Experience and proficiency in developing original statistical/econometric models and algorithms and implementing them 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.

• Experience with mathematical optimization models or large language models is a plus.

No recruiters applicants only.

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