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DATA SCIENTIST (MID AND SENIOR) - FRAUD AND RISK EVALUATION

Descripción de la oferta de empleo

About TeyaTeya exists to make sure that every small and growing business in Europe has the opportunity to thrive. We want to become Europe’s go-to software solution for these businesses, simplifying their every day and helping them reconnect with the joy of running their business. Teya was born in 2019 and is home to over 1,000 employees in 15+ countries. We've built a fast-paced, energetic, and innovative environment that is dedicated to bringing the best solutions to customers.Your MissionYou will be part of a joint team of machine learning engineers and data scientists building and evolving ML models, real-time systems, reports, and deep analysis of fraud detection and mitigation activities to protect merchants, their customers, and Teya from illicit activities.Working with advanced predictive models and scalable software systems, build and grow intelligent solutions to reduce all kinds of risk and allow Teya to focus on effectively serving our merchants.In This Role, You’ll BeHelping Teya to use data to drive business decisionsWorking on projects including but not limited to fraud detection, transaction monitoring, customer onboarding risk, cost-to-serve and cost-to-acquire modellingBuilding predictive models to a production level adopting coding best practicesWorking closely with other data scientists and machine learning engineers to support the analytical part of the machine learning lifecycleYour StoryBackground in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent)3+ years of professional working experienceSomeone who thrives in developing innovative, state-of-the-art products that can meet and surpass the latest advances in the fieldProficiency in Python, Amazon SageMaker, SQL, Jupyter NotebookExperience with Machine Learning and statistical inference.Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementationAbility to communicate outcomes of a data analysis to business stakeholdersStrong analytical and problem-solving skillsAbility to think creatively and insightfully about business problemsNice to have:Proficiency in Snowflake.The PerksCompetitive salary;Health Insurance;25 days of Annual leave (+ Bank holidays);Office snacks every day;Friendly, comfortable and informal office environment;Flexible working hours, as long it suits both you and your team.

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Detalles de la oferta

Empresa

Teya

Localidad

En toda España

Dirección

Sin especificar - Sin especificar

Fecha de publicación

23/11/2024

Fecha de expiración

21/02/2025

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