Data Scientist for Machine Learning Team

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    "heading": "Data Scientist for Machine Learning Team",
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    "description_html": "<div class=\"job_description\">\n\t\t\t\t\t<p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years. And with an incredible 100% growth last year.</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Our mission is to continue to improve our ad-tech platform, especially the core of it, our algorithms, to help our clients achieve their programmatic advertising campaign goals. We want to give our employees a job they&#8217;ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone&#8217;s implication has an impact.</span></span></span></span></span></span></p><p style=\"line-height:1.38;text-align:center;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Are you ready to be part of the new unicorn? Keep reading!</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">As a </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Data Scientist</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> embedded within our </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Machine Learning team</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">, your mission is to bridge the gap between theoretical model design and real-world production reality. You will be the analytical anchor dedicated to ensuring the performance and stability of our core models (</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Deep Neural Networks and Gradient Boosting decision trees</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">) within our high-frequency, complex auction ecosystem with millions of ad requests processed every second.</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">We are looking for a </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">deeply analytical individual</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">&#8212;someone who isn't satisfied with \"it works,\" but needs to understand the system at a fundamental level. You will apply scientific rigor to drive measurable improvements in our live bidding performance.</span></span></span></span></span></span></p><h3 style=\"line-height:1.38;margin-top:19px;margin-bottom:5px;\"><span style=\"font-size:13pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Your Tasks and Responsibilities</span></span></span></span></span></span></h3><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Deep-Dive Analysis:</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> Conduct in-depth analysis of algorithms behavior in the live auctioned environment to understand how our algorithms interact with market dynamics.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Model monitoring tools:</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> Collaborate on the development and automation of advanced model performance monitoring tools. Understand our ML models in production. Develop tooling that helps the team understand </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:italic;\"><span style=\"text-decoration:none;\">why</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> the models make specific predictions, moving beyond \"black box\" implementations.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experimentation:</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> Design and analyze experiments, A/B testing, to validate hypotheses regarding bidding strategies and model improvements.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">System Optimization:</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> Identify performance bottlenecks and propose architectural or feature enhancements to resolve non-optimal performance at the system level.</span></span></span></span></span></span></li></ul><h3 style=\"line-height:1.38;margin-top:19px;margin-bottom:5px;\"><span style=\"font-size:13pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">What are we looking for</span></span></span></span></span></span></h3><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Educational Background:</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> A strong fundamental education (BSc, MSc, or PhD) in a quantitative field such as </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Mathematics, Statistics, Physics, Computer Science, or Data Science</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Technical Stack:</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Python</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">, </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">SQL</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Statistical Rigor:</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> A deep understanding of Statistics and Probability theory.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">ML Knowledge:</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> Familiarity with core ML architectures - Gradient Boosting, Deep Neural Networks.</span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Bonus Points (highly valued):</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Knowledge of </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Game Theory</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> (auction dynamics).</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Background in </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Statistical Physics</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience with </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Bayesian Inference</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Discrete maths and graph theory</span></span></span></span></span></span></li></ul><div style=\"list-style-type:disc;text-align:center;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><strong>Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.</strong></span></span>",
    "description_text": "Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years. And with an incredible 100% growth last year.\n Our mission is to continue to improve our ad-tech platform, especially the core of it, our algorithms, to help our clients achieve their programmatic advertising campaign goals. 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.\n Are you ready to be part of the new unicorn? Keep reading!\n As a Data Scientist embedded within our Machine Learning team , your mission is to bridge the gap between theoretical model design and real-world production reality. You will be the analytical anchor dedicated to ensuring the performance and stability of our core models ( Deep Neural Networks and Gradient Boosting decision trees ) within our high-frequency, complex auction ecosystem with millions of ad requests processed every second.\n We are looking for a deeply analytical individual —someone who isn't satisfied with \"it works,\" but needs to understand the system at a fundamental level. You will apply scientific rigor to drive measurable improvements in our live bidding performance.\n Your Tasks and Responsibilities\n Deep-Dive Analysis: Conduct in-depth analysis of algorithms behavior in the live auctioned environment to understand how our algorithms interact with market dynamics.\n Model monitoring tools: Collaborate on the development and automation of advanced model performance monitoring tools. Understand our ML models in production. Develop tooling that helps the team understand why the models make specific predictions, moving beyond \"black box\" implementations.\n Experimentation: Design and analyze experiments, A/B testing, to validate hypotheses regarding bidding strategies and model improvements.\n System Optimization: Identify performance bottlenecks and propose architectural or feature enhancements to resolve non-optimal performance at the system level.\n What are we looking for\n Educational Background: A strong fundamental education (BSc, MSc, or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Data Science .\n Technical Stack: Python , SQL .\n Statistical Rigor: A deep understanding of Statistics and Probability theory.\n ML Knowledge: Familiarity with core ML architectures - Gradient Boosting, Deep Neural Networks.\n Bonus Points (highly valued):\n Knowledge of Game Theory (auction dynamics).\n Background in Statistical Physics .\n Experience with Bayesian Inference .\n Discrete maths and graph theory\n Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.",
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