Senior Data Scientist

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