Location: Capital Federal, Buenos Aires

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We are looking for a Semi Senior Data Scientist to join our nascent Buenos Aires team.This is a new role focused on the use of data and models to gain granular insight into digital media performance, support fact-based decisions, and communicate opportunities for improvement for MightyHive’s clients as well as our internal initiatives. The Semi Senior Data Scientist will help develop the team’s capabilities to develop bespoke client solutions. Using R and Rshiny to widen the company’s product offering and improve internal processes. Responsibilities include: Responsible for maintaining the inhouse R tools and Rshiny tools Research and develop new solutions based around the latest statistical techniques focused on marketing measurement and efficiency, Explore big data technologies to ensure the company can process and model large amounts of client data efficiently Explaining test-cases for senior management to potential new solutions Researching new visualization approaches using software such as PowerBI, Tableau Ability to support the wider team with econometric and machine learning techniques.

MightyHive is the leading data and digital media consultancy that helps marketers take control. MightyHive delivers sustained results from the ground up through advisory for business transformation, privacy-first data strategy, and digital media services. The company is headquartered in San Francisco, with a team of consultants, platform experts, data scientists, and marketing engineers in 19 countries and 24 cities around the world. In 2018, MightyHive merged with S4Capital plc (SFOR.L), a tech-led new age/new era digital advertising and marketing services company established by Sir Martin Sorrell.


Communication skills – must be able to communicate fluently in English both verbally and in writing. Proven experience of using R and Rshiny in a commercial setting Strong analytical reasoning and problem-solving skills plus ability to work with incomplete or imperfect data. Relevant mathematics background including Statistics, Probabilities and Linear Algebra. Bachelor’s degree in Computer Science, Mathematics, Engineering, Information Systems, Statistics or Economics. Passionate about working in an extremely fast-paced, demanding, and fluid startup environment.


Teamwork culture, with many professional opportunities and in a family environment 3 weeks holiday English classes 100% covered by the company Swiss Medical health insurance WFH Bonus to cover internet and general services expenses while working remotely Access to e-learning platforms Flexible WFH Policy Work Balance Policy Compensation Policy Salary adjustments every 3 months, aligned to the IPC index

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