FIFA

Data Scientist – Freelancer

FIFA

contract

Posted on:

Location Type: Remote

Location: Switzerland

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Tech Stack

AzureCloudETLJavaScriptNode.jsPythonSQL

About the role

  • Support in the development and maintenance of an economic player‑valuation model.
  • Conduct advanced data science projects (web scraping, NLP, machine learning, predictive modelling) to support multiple business units.
  • Build and maintain interactive dashboards in Power BI for operational tasks and to analyse, monitor and refine internal processes.
  • Support business users in implementing analyses for reports, publications and internal research projects.
  • Design, implement and maintain ETL pipelines for various structured and semi-structured data sources.
  • Build and maintain data models used for Power BI reports.
  • Actively collaborate with technical and non‑technical stakeholders, translating business requirements into robust analytical solutions.

Requirements

  • Master’s degree in any technical/quantitative field (e.g. Data Science, Economics, Applied Mathematics, Statistics or related disciplines) or equivalent practical experience.
  • 2-5 years of experience in data analytics, data modelling, machine learning, or quantitative research.
  • Experience applying statistical, econometric, or financial‑economic models to real‑world datasets (e.g., valuation models, forecasting models, risk models).
  • Proven experience translating business or research questions into robust analytical solutions, supported by clear data visualizations, effectively communicating insights to both technical and non‑technical stakeholders.
  • Experience working with sports data — particularly football player performance, event data, or tracking data (Opta, Stats Perform, Hawkeye, SportsMonks, etc.) — is an advantage.
  • Experience on the implementation of option‑value estimation techniques (Black‑Scholes) is an advantage.
  • Fluent in English
  • Other languages can be a plus
  • Expertise in Python data science stack for statistical/econometric modelling.
  • Experience working with SQL and relational databases.
  • Experience working with business intelligence tools (Power BI is a plus).
  • Experience with JavaScript, SSMS, SSDT, Node-RED and MS azure cloud services is a plus.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analyticsdata modellingmachine learningpredictive modellingweb scrapingstatistical modelseconometric modelsfinancial-economic modelsETL pipelinesdata visualization
Soft Skills
collaborationcommunicationtranslating business requirementsanalytical thinkingproblem-solving