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1 VAGA DE Desenvolvedor de Sistemas EM Manaus / AM
Desenvolvedor de Sistemas
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Manaus / AM
Home Office
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At fraudio (permanent), in lisbon, portugalexpires at:(Informação Confidencial)remote policy: full remotethe opportunity:fraudio portugal is seeking a highly skilled senior data scientist with extensive experience in spark and a strong understanding of card payments to join our global team. The ideal candidate will have a deep understanding of machine learning and data analysis, and will be responsible for developing complex data models and machine learning algorithms to detect and prevent payment fraud in is a remote-First position that offers the option to work in-Person with colleagues at our office in welcome applications from candidates who are:from any country who a currently living and working in portugal (we can provide continuation of visa sponsorship, if necessary) andnationals of european union countries who are willing to relocate to register and work in portugal andnationals of brazil who are willing to relocate to work in portugal (we can provide visa sponsorship).Please note, if your situation is not described above we will not be able to accept your implement, and maintain scalable data models for large and complex data sets related to card payments using spark, databricks and other distributed computing frameworksdevelop and deploy machine learning models to detect and prevent fraudulent activities related to card paymentscollaborate with software engineers and other data scientists to develop and deploy real-Time and batch processing pipelines for the ingestion and processing of card payment dataautomate the training and performance monitoring of machine learning modelscommunicate technical findings to both technical and non-Technical stakeholders and provide recommendations for fraud prevention strategiescome join us!Fraudio welcomes everyone we celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage individuals from all walks of life to apply. Lets shape the future of ntech together!Main requirementstechnical requirementsmsc or phd in computer science, statistics, mathematics, or a related field5+ years of experience in data science, with a focus on machine learning, statistical modelling, and data analysis. Experience in the payment industry is strongly preferredstrong knowledge of distributed computing frameworks such as apache sparkproven track record of building and deploying machine learning models in production environmentsproficiency in programming languages, preferably python and scalastrong understanding of sql and nosql databases and data warehousing technologieshave worked at a start-Up or scale-Upbusiness orientationstrong commercial sense and experience with stakeholder managementstartup mentality with a strong sense of ownershippragmatic and goal oriented prefers good solution that works today over perfect solution that may work in one yearstrongly preferred in-Depth domain knowledge in payments and/or fraud detection / amlstrong communication and presentation skillsbenefits & perksyoull be an early member of a growing startup, rubbing shoulders with top-Tier data professionals, a strong founding team, and visionary vcs. youll contribute to the ght against nancial crime by working on interesting and challenging tasks. you will be working fully remotely and have exible working arrangements. we love meeting in person too! Join us in company events - We all meet in person at least once a role is based at fraudio portugal, so eligibility to work in portugal is a must. enjoy 5 weeks of paid leave per year. youll have the chance to participate in our employee share option plan (esop). Our fun facts were a diverse, transparent, and honest bunch - Ask us anything! our team brings together a wide range of technical and cultural backgrounds, creating a dynamic environment where innovation ourishes. we prioritize fun, and enjoy virtual team events and other social gatherings that cater to a variety of interests and fun factswere a diverse, transparent, and honest bunch - Ask us anything!Our team brings together a wide range of technical and cultural backgrounds, creating a dynamic environment where innovation prioritize fun and enjoy virtual team events and other social gatherings catering to various interests and is an equal opportunity employer, and we encourage people of all genders, races, and physical abilities to apply. Come join us, and lets redefine fintech together!.
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