Data Scientist (Time Series Forecasting)

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist (Time Series Forecasting) based in Saudi Arabia. **Join a data-driven team to develop advanced forecasting solutions that power a live energy trading platform. In this role, you will build and improve time series models to forecast weather conditions, energy market prices, and supply and demand on the electricity grid. Your business will directly support data-driven trading decisions by turning analytical models into reliable, production-ready code. You will collaborate in a fully remote and distributed environment where quantitative expertise, technical excellence, and practical problem solving are highly valued. By leveraging modern Python, SQL, and AI-powered coding tools, you'll help bridge the gap between cutting-edge forecasting techniques and real-world business applications. This opportunity is ideal for a hands-on data scientist who enjoys solving complex forecasting challenges and making a measurable impact in the evolving energy sector. ### Responsibilities: * **Time Series Forecasting:** Design, develop and improve forecast models for weather conditions, energy market prices, and electricity grid supply and demand. * ** Production Model Development: ** Translate forecasting algorithms and analytical models into robust, scalable, production-ready code that integrates with and supports the live energy trading platform. * **Data Analysis and Model Optimization:** Analyze relevant data sets, identify patterns and trends, and improve forecast accuracy to support reliable trading decisions And data-driven. * **AI-assisted development:** Integrate powerful coding tools into your daily development workflow to accelerate implementation, improve productivity, and support efficient software development. * **Technical Integration:** Work with data pipelines, analytical systems, and production environments to ensure that forecasting solutions are reliable, maintainable, and suitable for operational use. * ** Cross-Functional Collaboration: ** Communicate technical results, explain forecasting approaches, and collaborate effectively with distributed teams to align model development with business and platform requirements. ## Requirements: * **Educational Background:** Bachelor's degree or higher in mathematics, econometrics, physics, engineering, or another closely related quantitative discipline. * **Professional Experience:** At least three years of relevant professional experience in data science, quantitative analysis, forecasting, or a related field. * **Time Series Forecasting Experience:** Proven experience in developing and applying time series forecasting models, with the ability to translate quantitative methods into practical solutions. * ** Programming Skills: ** Strong proficiency in Python and SQL for data analysis, model development, and production implementation. Experience with Go is an advantage. * **Agent Coding Tools:** Regular hands-on use of agent coding tools as part of daily development workflow, with the ability to effectively integrate AI-powered techniques into software development. * **Communication Skills:** Excellent communication skills in English, including the ability to explain technical concepts clearly and collaborate with stakeholders in an international environment Eh. * ** Analytical and problem-solving abilities: ** Strong quantitative thinking, attention to detail, and practical approach to address complex forecasting challenges and improve model performance. * ** Preferred Industry Knowledge: ** Experience working with energy markets, electricity trading, power grid data, or weather datasets is a plus. ## Benefits: * ** Fully Remote Work: ** Work remotely from anywhere in a distributed team environment. * **International Collaboration:** An opportunity to contribute to a global energy trading platform and collaborate with specialists in different locations. * **Meaningful Technical Impact:** Develop forecasting solutions that support real-world energy market decisions and operational trading activities. * **Advanced Data Science Class Enges:** Work on practical applications of time series forecasting that includes weather, market prices, and electricity supply and demand. * **Modern Development Practices:** Use proxy coding tools and contemporary development workflows to improve productivity and simplify model execution. * **Career Growth:** Enhance your expertise in quantitative modeling, production-scale data science, and applied forecasting in the energy sector. **How the employer Works:** We use an **AI-powered matching process** to ensure your application is reviewed quickly, objectively and fairly against the essential requirements of the job. Our system selects the best candidates and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews and assessments) are managed by their internal team. We appreciate your interest and wish you the best! [Why. This processing is based on legitimate interest and pre-contractual procedures under applicable data protection laws (including the GDPR). You can exercise your rights (access, rectification, erasure, objection) at any time. LI-CL1

Requirements

• Market prices
• Data science at the production level
• Correction
• Erasure
• Interception) at any time. LI-CL1

Skills