Senior Data Scientist in Football
AS1Remote (Europe) | Spain preferredAt 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 existsModern 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 onThis 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 workYou 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 workYou 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 fitsBeyond 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 processInterested candidates should send: - CV - Short motivation letter
To:Email subject: Senior Data Scientist in FootballApplications will be reviewed on a rolling basis. Early applications are encouraged.