Senior Data Scientist (Forecasting & Marketing Mix Modelling) at Square Enix | GB | Rezi

Senior Data Scientist (Forecasting & Marketing Mix Modelling) at Square Enix

Senior Data Scientist (Forecasting & Marketing Mix Modelling)

Square Enix · GB

Yesterday

Senior Data Scientist (Forecasting & Marketing Mix Modelling)

Square Enix · GB

2 days ago
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About the Role

Square Enix is seeking a highly analytical Senior Data Scientist to lead the data, modelling, and technology foundations of their Forecasting function. This role will build robust internal tools, simulation frameworks, QA processes, and model monitoring routines to improve forecasting accuracy, scenario planning, and marketing decision-making. The individual will collaborate with various teams to deliver practical, scalable solutions.

Responsibilities

  • Own the end-to-end Forecasting process from a data, modelling, and technology perspective.
  • Ensure models, tools, QA routines, and monitoring are reliable, scalable, and business-relevant.
  • Design internal tools, QA workflows, and reusable modelling components for efficient solution building, testing, iteration, and deployment.
  • Develop simulation and scenario planning tools for evaluating media investment, campaign strategies, pricing, promotions, and potential sales outcomes.
  • Support and improve the model performance monitoring process, including tracking forecast accuracy, identifying bias, capturing feedback, and informing model development.
  • Drive business impact through delivered tools and modelling processes, including improved forecast reliability, faster scenario turnaround, stronger monitoring, and better marketing decision support.

Requirements

  • Demonstrable current proficiency in mathematics (e.g. A-level Mathematics with grade A, A+ or equivalent).
  • Strong delivery mindset with the ability to work under tight deadlines and consistently drive business impact.
  • Proficiency in Python, including modular code design using functions and classes.
  • Experience with version control tools such as Git.
  • Experience applying statistical modelling to business problems, including model validation, performance monitoring, and communication of model limitations.
  • Experience developing internal tools or analytical applications using frameworks such as Flask, FastAPI, or similar.
  • Familiarity with cloud computing platforms (e.g. Google Cloud).
  • Understanding of game industry dynamics, including genre-specific sales patterns, platform strategies, long-tail revenue behaviour, and the impact of discounting and marketing campaigns.
  • Ability to translate business logic into data-driven forecasting frameworks.
  • Experience with Marketing Mix Modelling or media effectiveness analysis.
  • Strong communication skills, with ability to explain complex concepts to both technical and non-technical stakeholders.
  • Collaborative mindset and ability to work across data science, engineering, and business teams.
  • Ability to build and evaluate Bayesian models using PyMC or Stan, with a focus on real-world forecasting applications.
  • Experience in pricing analytics, demand modelling, or revenue forecasting within entertainment or consumer industries.
  • Experience of managing/mentoring junior members.

Skills

  • Python
  • Git
  • Flask
  • FastAPI
  • Google Cloud
  • Bayesian models
  • PyMC
  • Stan
  • Marketing Mix Modelling
  • Media effectiveness analysis
  • Statistical modelling
  • Data science
  • Forecasting
  • Scenario planning
  • Model monitoring
  • Internal tool development
  • Simulation frameworks
  • QA processes

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • Senior
  • Formal work experience not required

Education Level

  • A-level Mathematics with grade A, A+ or equivalent

About the Company

  • Square Enix is a leading publisher of entertainment content, known for iconic franchises such as Final Fantasy, Kingdom Hearts, Dragon Quest, NieR, Life is Strange, and Just Cause.
  • Purpose: Creating New Worlds with Boundless Imagination to Enhance People’s Lives.
  • Values: Deliver Unforgettable Experiences, Embrace Challenges, Act Swiftly, Stronger Together, Continuously Evolve, Cultivate Integrity.