Senior Data Scientist

  • Madrid
  • Agileengine
Job Description AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia. If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :) What you will do The research team, takes priority date and turns it into visualization, When we take Indeed data one of the first questions we get is around comparing hiring industry data, geo is a big component and time data is also important and those change over time and we need Indeed’s data to get assessment of the labor market, this person will be support that consistency on JS, Singapore, London, US, Germany cross team; Data analysis and visualization, software for working with R (RStudio) and continuously maintains packages that make data easy to work with and visualize.   Must haves  R for Data Science; Economist/Finance interest or background; Data Analytics and Statistical experience; The data scientist should have some experience in R/tidyverse, SQL, AWS, and be experienced with building reporting tools in quarto. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Requirements R for Data Science; Economist/Finance interest or background; Data Analytics and Statistical experience; The data scientist should have some experience in R/tidyverse, SQL, AWS, and be experienced with building reporting tools in quarto.