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Senior data scientist

Santander
AS1 Sports
Publicada el 26 marzo
Descripción

PbSenior Data Scientist in Football /b /ppbr/ppbAS1 /b /ppRemote (Europe) | Spain preferred /ppAt AS1, we are redefining how data shapes decision-making in football — from player performance to transfer strategy. /ppBehind every smart scouting decision, every undervalued player identified, and every strategic move in the market, there is a powerful combination of data, models, and football understanding. /ppThat is exactly what this role is about. /ppWe are looking for a bSenior Data Scientist /b who wants to operate at the intersection of football performance, market intelligence, and advanced analytics — and who is motivated by building models that directly influence real-world decisions. /p pbWhy this role exists /b /ppModern football is no longer driven by intuition alone. /ppClubs, agents, and decision-makers increasingly rely on: /pp• Advanced performance metrics /pp• Predictive modeling /pp• Market intelligence and valuation systems /p pHowever, the real competitive edge comes from bconnecting these domains into a single decision-making framework /b. /ppAt AS1, we are building that layer. /ppTo do so, we need a data scientist who can transform complex data into bclear, actionable, and strategic insights /b — in environments where decisions matter and timing is critical. /p pbWhat you will work on /b /ppThis role is about bowning the intelligence layer of football decision-making /b. /ppYou will design and deploy models that: /pp• Evaluate player performance and potential /pp• Identify market opportunities and inefficiencies /pp• Support scouting and recruitment strategies /pp• Inform player representation and transfer decisions /p pYou will work with complex, multi-source datasets including: /pp• Event and tracking data /pp• Market and transfer data /pp• Internal proprietary datasets /p pYour work will directly impact: /pp• Player scouting and recruitment /pp• Squad building and fit analysis /pp• Transfer strategy and valuation /pp• Strategic advisory to stakeholders /p pMuch of what you will build will define how decisions are made going forward. /p pbWhere you will work /b /ppYou will be part of a distributed team, working remotely across Europe, with a strong preference for Spain. /ppThis setup allows: /pp• Close collaboration with technical and football profiles /pp• Flexibility in execution /pp• Direct exposure to real decision-making processes /p pbHow you will work /b /ppYou will collaborate across a multidisciplinary environment combining: /pp• Data science and machine learning expertise /pp• Football domain knowledge /pp• Business and market understanding /p pYou will work closely with: /pp• Data engineers and data providers /pp• Football analysts and scouts /pp• External partners /p pThis role suits someone who enjoys: /pp• Building models that go beyond academic exercises /pp• Working close to decision-makers /pp• Translating complexity into clarity /pp• Balancing rigor with real-world applicability /p pbWhat kind of profile fits /b /ppBeyond technical skills, we are looking for someone who: /pp• Thinks in terms of bimpact, not just models /b /pp• Is comfortable navigating ambiguity and open problems /pp• Combines analytical depth with football intuition /pp• Is proactive, autonomous, and solution-oriented /pp• Enjoys working in fast-paced, high-stakes environments /p pExperience in football analytics is highly valued, but mindset and problem-solving ability are critical. /p pbWhy this is a unique opportunity /b /pp• Shape how data influences bplayer careers and transfer strategy /b /pp• Work at the intersection of bperformance analytics and football economics /b /pp• Build proprietary models with real-world impact /pp• Operate in a high-leverage environment with direct decision influence /pp• Contribute to the next generation of football intelligence systems /p pWe are not just analyzing the game. /pp We are helping define how decisions in football will be made. /p pbKey responsibilities /b /pp• Design and implement predictive models for player performance and valuation /pp• Analyze large-scale, multi-source datasets to generate actionable insights /pp• Develop proprietary algorithms to assess player potential and team fit /pp• Collaborate with data engineers to ensure data quality and scalability /pp• Translate complex outputs into clear recommendations for non-technical stakeholders /pp• Stay at the forefront of data science and football analytics innovation /p pbRequired profile /b /pp• 5+ years of experience in data science and machine learning /pp• Strong proficiency in Python (pandas, scikit-learn, numpy) and SQL /pp• Solid experience in predictive modeling and statistical analysis /pp• MSc (or equivalent) in a quantitative field (data science, statistics, physics, etc.) /pp• Fluent in English (Spanish is a plus) /p pbNice to have /b /pp• Experience with cloud platforms (e.g. AWS) /pp• Background in football analytics /pp• Familiarity with providers such as Opta, Wyscout, or StatsBomb /pp• Experience working with event and tracking data /p pbApplication process /b /p pInterested candidates should send: /p p• CV /pp• Short motivation letter /ppbr/pp To: /p p bEmail subject: /b Senior Data Scientist in Football /p pApplications will be reviewed on a rolling basis. Early applications are encouraged. /p

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