R Expert Developer - Based anywhere globally

About us Evo is the anti-forecast. We monitor every day billions of people, places, products for transformative, real-time software delivery: robo-advising daily supply chain, pricing and customer decisions. Artificial intelligence achieving 20-30% improvement within the first quarter of usage. We are a curious, passionate and principled team of international professionals working from anywhere in the world, having offices in London (UK) and Turin (ITA), for global clients in consumer goods, retail, utilities, logistics, fashion, insurance and more. Our introduction video: [login to view URL] This role: We are looking for 2 R experts for a short-term project. Your mission will be to refactor one of our tools (written in R-language) to optimize its performances and scalability using Apache Spark (interfaced through the Sparklyr R library). Requirements: You are an expert R developer, able to work in a fast-paced ever-changing environment, intellectually curious team player with knowledge of: • R programming language • Apache Spark (interfaced through the Sparklyr package) • Experience in Big Data analysis is an asset • Knowledge of Linux and Docker are an asset • English communication skills • Availability to work for minimum and continuous 4hrs/day during the CET 9:00-18:00 time window. Your role, like all others, requires open mind, ability to adapt and can-do mindset. This may stretch the boundaries of your previous experience and education! Does this sound like you? We offer: • Challenging problems • Informal team in rapid evolution • Flexible smart-working hours • Accelerated career with tangible real-world impact • Friendly and meritocratic culture & significant bonus potential. To apply, please send: • Curriculum in a file called: [login to view URL] • Cover Letter (optional) in a file called [login to view URL] • Academic credentials • Link to LinkedIn profile • Answers to the mandatory context questions CONTEXT QUESTIONS 1. Examples of your past work: links please, e.g. public repositories, or public projects. Optionally: your LinkedIn and/or other relevant profiles? 2. Top 3-5 example best practices to rewrite the code of an algorithm without changing any functionality (max 1 line each) 3. Write a small example of unit test you would use to check the R function dplyr::mutate 4. Your available start date AND how many available max hours per week (excluding weekends) you or your team can dedicate to us in CET 9:00-18:00 time window 5. Expected hourly rate in EUR/hour? Happy applying, and welcome to our Evo Family!