Senior Data Scientist: Forecasting & Marketing Mix

Square Enix

England (AR)

On-site

USD 130,000 - 170,000

Full time

14 days+
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Job summary

Square Enix is seeking a Senior Data Scientist to lead forecasting, modelling, and technology foundations for marketing and sales analytics. The role focuses on building robust tools, simulation frameworks, QA processes, and model monitoring to improve forecast accuracy and scenario planning, collaborating with data scientists, data engineers, and marketing stakeholders.

You will oversee end-to-end forecasting pipelines, design reusable components, and drive scalable solutions that impact

Qualifications

  • Proficiency in Python with modular code design.
  • Experience applying statistical modelling to business problems.
  • Familiarity with Flask/FastAPI or similar for internal tools.
  • Experience with Git and version control.
  • Knowledge of cloud platforms (GCP) and data engineering basics.

Responsibilities

  • Own end-to-end Forecasting process from data, modelling, and tech perspective.
  • Design internal tools and reusable modelling components for forecasting solutions.
  • Develop simulation and scenario planning tools for marketing investments and pricing.
  • Support model performance monitoring and capture stakeholder feedback for improvements.
  • Measure success by tool adoption, forecast reliability, and decision support impact.

Skills

Python
Git
Statistics modelling
Cloud computing (Google Cloud)
Modular code design (functions/classes

Education

Advanced degree in a quantitative field

Tools

Flask
FastAPI

Job description

Square Enix is seeking a Senior Data Scientist to lead forecasting, modelling, and technology foundations for marketing and sales analytics. The role focuses on building robust tools, simulation frameworks, QA processes, and model monitoring to improve forecast accuracy and scenario planning, collaborating with data scientists, data engineers, and marketing stakeholders.

You will oversee end-to-end forecasting pipelines, design reusable components, and drive scalable solutions that impact

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