Descripción de la oferta
Senior Data Scientist in Football AS1 Remote (Europe) | Spain preferred At AS1, we are redefining how data shapes decision-making in football — from player performance to transfer strategy. Behind 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. That is exactly what this role is about. We are looking for a Senior Data Scientist 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. Why this role exists Modern football is no longer driven by intuition alone. Clubs, agents, and decision-makers increasingly rely on: • Advanced performance metrics • Predictive modeling • Market intelligence and valuation systems However, the real competitive edge comes from connecting these domains into a single decision-making framework . At AS1, we are building that layer. To do so, we need a data scientist who can transform complex data into clear, actionable, and strategic insights — in environments where decisions matter and timing is critical. What you will work on This role is about owning the intelligence layer of football decision-making . You will design and deploy models that: • Evaluate player performance and potential • Identify market opportunities and inefficiencies • Support scouting and recruitment strategies • Inform player representation and transfer decisions You will work with complex, multi-source datasets including: • Event and tracking data • Market and transfer data • Internal proprietary datasets Your work will directly impact: • Player scouting and recruitment • Squad building and fit analysis • Transfer strategy and valuation • Strategic advisory to stakeholders Much of what you will build will define how decisions are made going forward. Where you will work You will be part of a distributed team, working remotely across Europe, with a strong preference for Spain. This setup allows: • Close collaboration with technical and football profiles • Flexibility in execution • Direct exposure to real decision-making processes How you will work You will collaborate across a multidisciplinary environment combining: • Data science and machine learning expertise • Football domain knowledge • Business and market understanding You will work closely with: • Data engineers and data providers • Football analysts and scouts • External partners This role suits someone who enjoys: • Building models that go beyond academic exercises • Working close to decision-makers • Translating complexity into clarity • Balancing rigor with real-world applicability What kind of profile fits Beyond technical skills, we are looking for someone who: • Thinks in terms of impact, not just models • Is comfortable navigating ambiguity and open problems • Combines analytical depth with football intuition • Is proactive, autonomous, and solution-oriented • Enjoys working in fast-paced, high-stakes environments Experience in football analytics is highly valued, but mindset and problem-solving ability are critical. Why this is a unique opportunity • Shape how data influences player careers and transfer strategy • Work at the intersection of performance analytics and football economics • Build proprietary models with real-world impact • Operate in a high-leverage environment with direct decision influence • Contribute to the next generation of football intelligence systems We are not just analyzing the game. We are helping define how decisions in football will be made. Key responsibilities • Design and implement predictive models for player performance and valuation • Analyze large-scale, multi-source datasets to generate actionable insights • Develop proprietary algorithms to assess player potential and team fit • Collaborate with data engineers to ensure data quality and scalability • Translate complex outputs into clear recommendations for non-technical stakeholders • Stay at the forefront of data science and football analytics innovation Required profile • 5+ years of experience in data science and machine learning • Strong proficiency in Python (pandas, scikit-learn, numpy) and SQL • Solid experience in predictive modeling and statistical analysis • MSc (or equivalent) in a quantitative field (data science, statistics, physics, etc.) • Fluent in English (Spanish is a plus) Nice to have • Experience with cloud platforms (e.g. AWS) • Background in football analytics • Familiarity with providers such as Opta, Wyscout, or StatsBomb • Experience working with event and tracking data Application process Interested candidates should send: • CV • Short motivation letter To: Email subject: Senior Data Scientist in Football Applications will be reviewed on a rolling basis. Early applications are encouraged.
