Senior Data Scientist - Remote - Latin AmericaFullStack Labs Published 18 Mar 2024 Share this job Remote Full Time Role Highlights Data Analysis Integrations Full Stack CI Software Design Agile Scrum Startup Google Analytics Tools, Libraries and FrameworksDescription The position is for a Senior Data Scientist at FullStack Labs, a company that offers software consultancy services and focuses on delivering transformational digital solutions. The role involves working with clients through team augmentation, integrating into the client's team to work alongside their designers and engineers, or working on a FullStack Labs product team to build and deliver products. The candidate is expected to have experience with Business Intelligence, Data Modeling, and Data Analysis. Advanced English, a four-year college degree, and the ability to work 40 hours per week are required. FullStack Labs is the fastest-growing software consultancy in the Americas, focused on helping organizations like Uber, GoDaddy, MGM, Siemens, and Stanford University build distributed software development teams and deliver transformational digital solutions. As an employee-first company, FullStack Labs prioritizes hiring the most talented software designers and developers in the western hemisphere by fostering a positive, respectful, and supportive work environment. The company prides itself on offering life-changing career opportunities to talented software professionals across the Americas, building highly-skilled software development teams for hundreds of the world's great companies, and having delivered hundreds of successful custom software solutions that have positively impacted millions of users. With a 4.5-star rating on GlassDoor and a client Net Promoter Score of 68, twice the industry average, FullStack Labs demonstrates a strong commitment to excellence and customer satisfaction. Share & DisclaimerShare this jobDisclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
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