Data Scientist (Time Series Forecasting)

Overview

A partner company is seeking a Data Scientist specialized in Time Series Forecasting to join their data-driven team remotely from Saudi Arabia. This role involves developing sophisticated forecasting models that are fundamental to a live energy trading platform by predicting weather, energy prices, and electricity supply-demand dynamics.

Key Responsibilities

• Create, refine, and enhance time series forecasting models covering weather data, energy market pricing, and electricity grid supply and demand forecasts.
• Convert forecasting models and algorithms into efficient, scalable, and production-ready code that integrates seamlessly with a live trading platform.
• Conduct thorough data analyses to detect important patterns and optimize model accuracy supporting informed trading decisions.
• Utilize AI-driven coding tools regularly to speed up development processes, raising coding efficiency and quality.
• Ensure integration of models within data pipelines and production environments, prioritizing reliability and maintenance capabilities.
• Collaborate effectively within a distributed international team by sharing technical insights and aligning model development with business goals.

Minimum Qualifications

• Bachelor's degree or higher in Mathematics, Econometrics, Physics, Engineering, or a related quantitative field.
• At least three years of proven experience in data science, quantitative analysis or forecasting disciplines.
• Substantial expertise in the design and application of time series forecasting methodologies.
• Proficiency in Python and SQL for model development, data manipulation, and production code implementation; Go language experience is advantageous.
• Regular hands-on experience with AI-assisted (agentic) coding tools integrated into software development workflows.
• Strong English communication skills for clear explanation of technical concepts in a remote collaborative environment.
• Excellent analytical and problem-solving skills with attention to detail and practical mindset.
• Industry experience related to energy markets, electricity trading, power grid data, or weather analytics is a plus.

Benefits and Work Environment

• Opportunity to work entirely remotely within a globally distributed team.
• Collaboration with international professionals on a cutting-edge energy trading platform.
• Impactful work contributing real-time forecasting models for energy market decision-making.
• Exposure to advanced time series forecasting challenges involving diverse datasets.
• Access to modern AI-powered coding tools and contemporary development workflows enhancing productivity.
• Chance to develop professional skills in quantitative modeling and production-level data science in the energy sector.

Other Information

This role is coordinated through a partner company that manages application processing and recruitment stages independently. The hiring decision and all subsequent steps are handled internally by them. Applications will be analyzed with AI techniques integrated into the screening process to support objective candidate selection, with privacy and data protection measures in place.