Data Science Team Lead

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    "heading": "Data Science Team Lead",
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    "description_html": "<span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><strong>Smadex</strong> 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 a fully transparent platform built with top technology, countless programmatic management features and powerful machine learning algorithms to help advertisers grow their business at scale. We are currently considered one of the top mobile ad-tech companies in the world.</span></span><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">About the Role</span></span></span></span></span></span></span></p><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">As a Data Science Lead, you will bridge the gap between complex big data , strategic business and product decisions. You will lead a talented team of 3 to 5 data analysts, overseeing the analysis of massive programmatic advertising datasets. You will be responsible for ensuring high-quality insights to shape your product development..</span></span></span></span></span></span></span></p><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><strong>Your tasks and responsibilities:</strong></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Lead, mentor, and scale a team of 3-5 data analysts. Own the team’s operational workflow, prioritize incoming analytical requests from cross-functional stakeholders, and optimize delivery timelines.</span></span></span></span></span></span></span></li></ul><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Deep-dive into massive, fast-moving RTB datasets to decode auction dynamics, diagnose market fluctuations, and identify revenue opportunities; translate these findings into automated, self-service BI frameworks that democratize data access and eliminate ad-hoc extraction across the business.</span></span></span></span></span></span></span></li></ul><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Define and implement frameworks for peer review, data validation, and documentation. Ensure that all insights, models and custom dashboards delivered by the team meet the highest standards of statistical accuracy.</span></span></span></span></span></span></span></li></ul><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Work directly with Product Management, Data Science, and Engineering as a technical peer to define how performance signals are monitored, and translate complex data trends into actionable product decisions.</span></span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:underline;\"><span>Empower Self-Service BI:</span></span></span></span></span></span><span style=\"font-variant:normal;white-space:pre-wrap;\"><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></p><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Drive the strategy for automated reporting and data democratization, reducing ad-hoc data extraction requests and enabling other teams to make data-driven decisions independently.</span></span></span></span></span></span></span></p><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Skills and requirements:</span></span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Technical degree in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Data Science.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">5+ years of experience in data-heavy analysis or business intelligence roles, with a proven track record in digital advertising or marketplace environments.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">3+ years of experience leading, managing, or mentoring a team of data professionals (as a Team Lead, Tech Lead, or Manager).</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Fluency with Big Data: Expert-level mastery of SQL and strong capability to work independently in Python or R notebooks for advanced data manipulation.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Excellent written and verbal communication. Ability to synthesize complex technical anomalies or analytical conclusions into clear executive summaries for non-technical stakeholders.</span></span></span></span></span></span></span></li></ul><p><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-size:14px;\"><strong>Please note that we do NOT provide VISA sponsorship. Candidates without a work authorization to work in the US won't be considered.</strong></span></span></p><p><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-size:14px;\"><strong>What is in it for you:</strong></span></span></p><ul><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Integrate a highly motivated, young and dynamic team</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Great compensation package</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Top location at the heart of Barcelona with a rooftop terrace, Barbecue, and a fully stocked fridge</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Great work-life balance: work from home (2 days per week), flexible hours</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Meal vouchers - Ticket Restaurant monthly allowance</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Monthly gym allowance: Choose between DiR and Wellhub</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">LinkedIn Learning and training opportunities</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Monthly TGIF events</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Regular team-building events</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Fun and friendly work environment with talented marketers and engineers from over 40 countries</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">And more!</span></span></li></ul>",
    "description_text": "Smadex  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 a fully transparent platform built with top technology, countless programmatic management features and powerful machine learning algorithms to help advertisers grow their business at scale. We are currently considered one of the top mobile ad-tech companies in the world. About the Role\n As a Data Science Lead, you will bridge the gap between complex big data , strategic business and product decisions. You will lead a talented team of 3 to 5 data analysts, overseeing the analysis of massive programmatic advertising datasets. You will be responsible for ensuring high-quality insights to shape your product development..\n Your tasks and responsibilities:\n Lead, mentor, and scale a team of 3-5 data analysts. Own the team’s operational workflow, prioritize incoming analytical requests from cross-functional stakeholders, and optimize delivery timelines.\n Deep-dive into massive, fast-moving RTB datasets to decode auction dynamics, diagnose market fluctuations, and identify revenue opportunities; translate these findings into automated, self-service BI frameworks that democratize data access and eliminate ad-hoc extraction across the business.\n Define and implement frameworks for peer review, data validation, and documentation. Ensure that all insights, models and custom dashboards delivered by the team meet the highest standards of statistical accuracy.\n Work directly with Product Management, Data Science, and Engineering as a technical peer to define how performance signals are monitored, and translate complex data trends into actionable product decisions.\n Empower Self-Service BI:\n Drive the strategy for automated reporting and data democratization, reducing ad-hoc data extraction requests and enabling other teams to make data-driven decisions independently.\n Skills and requirements:\n Technical degree in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Data Science.\n 5+ years of experience in data-heavy analysis or business intelligence roles, with a proven track record in digital advertising or marketplace environments.\n 3+ years of experience leading, managing, or mentoring a team of data professionals (as a Team Lead, Tech Lead, or Manager).\n Fluency with Big Data: Expert-level mastery of SQL and strong capability to work independently in Python or R notebooks for advanced data manipulation.\n Excellent written and verbal communication. Ability to synthesize complex technical anomalies or analytical conclusions into clear executive summaries for non-technical stakeholders.\n Please note that we do NOT provide VISA sponsorship. Candidates without a work authorization to work in the US won't be considered.\n What is in it for you:\n Integrate a highly motivated, young and dynamic team\n Great compensation package\n Top location at the heart of Barcelona with a rooftop terrace, Barbecue, and a fully stocked fridge\n Great work-life balance: work from home (2 days per week), flexible hours\n Meal vouchers - Ticket Restaurant monthly allowance\n Monthly gym allowance: Choose between DiR and Wellhub\n LinkedIn Learning and training opportunities\n Monthly TGIF events\n Regular team-building events\n Fun and friendly work environment with talented marketers and engineers from over 40 countries\n And more!",
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      "datePosted": "2026-06-16",
      "description": "<span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><strong>Smadex</strong> 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 a fully transparent platform built with top technology, countless programmatic management features and powerful machine learning algorithms to help advertisers grow their business at scale. We are currently considered one of the top mobile ad-tech companies in the world.</span></span><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">About the Role</span></span></span></span></span></span></span></p><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">As a Data Science Lead, you will bridge the gap between complex big data , strategic business and product decisions. You will lead a talented team of 3 to 5 data analysts, overseeing the analysis of massive programmatic advertising datasets. You will be responsible for ensuring high-quality insights to shape your product development..</span></span></span></span></span></span></span></p><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><strong>Your tasks and responsibilities:</strong></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Lead, mentor, and scale a team of 3-5 data analysts. Own the team’s operational workflow, prioritize incoming analytical requests from cross-functional stakeholders, and optimize delivery timelines.</span></span></span></span></span></span></span></li></ul><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Deep-dive into massive, fast-moving RTB datasets to decode auction dynamics, diagnose market fluctuations, and identify revenue opportunities; translate these findings into automated, self-service BI frameworks that democratize data access and eliminate ad-hoc extraction across the business.</span></span></span></span></span></span></span></li></ul><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Define and implement frameworks for peer review, data validation, and documentation. Ensure that all insights, models and custom dashboards delivered by the team meet the highest standards of statistical accuracy.</span></span></span></span></span></span></span></li></ul><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Work directly with Product Management, Data Science, and Engineering as a technical peer to define how performance signals are monitored, and translate complex data trends into actionable product decisions.</span></span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:underline;\"><span>Empower Self-Service BI:</span></span></span></span></span></span><span style=\"font-variant:normal;white-space:pre-wrap;\"><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></p><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Drive the strategy for automated reporting and data democratization, reducing ad-hoc data extraction requests and enabling other teams to make data-driven decisions independently.</span></span></span></span></span></span></span></p><p style=\"line-height:1.38;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Skills and requirements:</span></span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Technical degree in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Data Science.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">5+ years of experience in data-heavy analysis or business intelligence roles, with a proven track record in digital advertising or marketplace environments.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">3+ years of experience leading, managing, or mentoring a team of data professionals (as a Team Lead, Tech Lead, or Manager).</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Fluency with Big Data: Expert-level mastery of SQL and strong capability to work independently in Python or R notebooks for advanced data manipulation.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Excellent written and verbal communication. Ability to synthesize complex technical anomalies or analytical conclusions into clear executive summaries for non-technical stakeholders.</span></span></span></span></span></span></span></li></ul><p><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-size:14px;\"><strong>Please note that we do NOT provide VISA sponsorship. Candidates without a work authorization to work in the US won't be considered.</strong></span></span></p><p><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-size:14px;\"><strong>What is in it for you:</strong></span></span></p><ul><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Integrate a highly motivated, young and dynamic team</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Great compensation package</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Top location at the heart of Barcelona with a rooftop terrace, Barbecue, and a fully stocked fridge</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Great work-life balance: work from home (2 days per week), flexible hours</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Meal vouchers - Ticket Restaurant monthly allowance</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Monthly gym allowance: Choose between DiR and Wellhub</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">LinkedIn Learning and training opportunities</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Monthly TGIF events</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Regular team-building events</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Fun and friendly work environment with talented marketers and engineers from over 40 countries</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">And more!</span></span></li></ul>",
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