Smadex (www.smadex.com) is a leading advertising technology company founded in Barcelona in 2011 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are currently considered one of the top mobile ad-tech companies in the world, competing with American-based Liftoff and Korean-based Moloco, both pre-IPO stage and averaging about $500M in yearly revenues.
We compete in a highly advanced technology-driven industry where Data Science and cutting-edge cloud-based big data architectures make all the difference in the company's growth. We are looking for ambitious engineers whose ultimate motivation is to learn the most advanced technologies used in the ad-tech industry by the likes of Google and Facebook and to help us become the biggest mobile programmatic advertising platform in the world.
Our mission is to continue to improve our ad-tech platform to help our clients achieve their programmatic advertising campaign goals, and we want to give our employees a job they'll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone's implication has an impact.
Are you ready to be part of the new unicorn? Keep reading! What will you do: You will be part ofall the major architectural decisions and developmentswe make on our algorithms, especially in our deep neural network algorithms.You will be responsible for developing new features, measuring the performance and improving our algorithms.Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companiesYou will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops teamYou will work onunique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labeling delay.Analyse data from different sources and provide actionable insights to business and engineering stakeholdersWhat you need to have: 1+ years of relevant experience in data science positionsVery strong coding ability in at least one of the following: Python, Scala, JavaProficiency in solving problemsKnowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical significance tests)Experience in data mining and predictive modelling: deep neural networks,logistic regression, clustering and time series analysis modelsKnowledge of Bitbucket/Git version toolsExperience working with SQL and data warehousingPossesses excellent communication skills both verbal and writtenFluency in EnglishExtra points for :-) Master's degree in Statistics, Applied mathematics, Computer ScienceProficiency in building high-performance algorithms in productionExperience with reporting and data visualization tools such as Jupyter Notebook, Zeppelin, Tableau, Periscope, PowerBI or othersExperience in digital marketing platforms and user acquisitionExperience with and Apache Spark and Nodejs programming languageFamiliarity with AWS services such as EMR, EC2, Athena, S3, RedshiftUsed to Linux environmentsReward package: Integrate a highly motivated and young teamGreat compensation packageTop location at the heart of Barcelona in a penthouse office with rooftop terrace, Barbeque and fully stocked fridgeGood work-life balance: work from home, flexible hoursLearning and training opportunitiesMeal vouchers - Tickets Restaurant monthly allowanceMonthly gym allowance to use in up to the 30DIR gyms around the cityMonthly TGIF eventsRegular team-building eventsFun and friendly work environment with talented marketers and engineers from over 21 countriesExposure to leading global app publishers (Zynga, King, Rovio, EA, etc.) and media partners in the digital advertising industry
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