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In the 1840s, a revolutionary step was made by Charles Babbage and Ada Lovelace in the development of the 'Analytics Engine', an early computer prototype. Lovelace uniquely foresaw the potential of using numbers beyond just representing quantities, sowing the seeds of general-purpose computing and influencing future technology.
Mercury seeks experienced Data Scientists to enhance their analytics engine. Those interested in the position will work closely with key marketing teams within the company, applying their skills across various facets of data science and marketing.
Candidates would be tasked with an array of responsibilities, working collaboratively with distinct teams. This includes conducting deep-dive analyses, improving marketing measurement capabilities, enhancing financial metrics understanding, applying advanced marketing measurement techniques like A/B Testing, MMM, and MTA, and developing machine learning models. Expertise in SQL and other statistical languages, proficiency with marketing tools, and experience in data pipeline and dashboard creation are essential.
Prospective applicants are expected to have at least 5 years of experience, possess strong organization and communication skills, with a proficiency in programming languages used in data science. Familiarity with non-technical marketing tools is also required.
Mercury offers a competitive total rewards package consisting of salary, equity, and benefits. Salaries vary based on experience, expertise, location, and are designed to be equitable. Specific salary ranges are provided for US and Canadian employees.
Mercury operates as a financial technology entity, partnering with banking service providers. It creates products aimed to streamline and improve the financial operations of entrepreneurs. Their focus is not just on building technology, but making a tangible impact on customers' lives and fostering business growth.
This job offer was originally published on Jobicy
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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
