Grid DynamicsRemote

Data Scientist

Description

🚀 Senior Data Scientist / Forecasting (AWS) We’re looking for a Senior Data Scientist with deep expertise in time-series forecasting and AWS, to lead the design and delivery of large-scale, end-to-end forecasting systems that directly impact business decisions. This role is perfect for someone who thrives at the intersection of advanced modeling, experimentation, and real-world business impact. 🌍 About the Role You will own the full forecasting lifecycle across SKU, store, channel, and time hierarchies, shaping how data drives key decisions such as demand planning, inventory optimization, and allocation. This is a high-impact, strategic role where you will define modeling approaches, drive experimentation, and influence both product and operational outcomes. 🧩 Key Responsibilities Lead the development of end-to-end forecasting systems across complex business dimensions Define modeling strategies and evaluation frameworks aligned with real business use cases Design and own experimentation frameworks (A/B testing, causal inference, counterfactual analysis) Quantify the business impact of forecasts (service levels, inventory, cost, planner decisions) Set the technical direction for modern forecasting approaches, combining:statistical models machine learning & deep learning LLM-enabled techniques (embeddings, hybrid architectures)

Apply advanced time-series methodologies, including:hierarchical forecasting intermittent demand demand sensing Forecast Value Added (FVA)

Own production deployment and lifecycle:cloud-native architectures (AWS) scalable pipelines and APIs monitoring, retraining, and MLOps practices

Collaborate with product, engineering, and operations teams to turn ambiguous problems into clear, actionable solutions 🛠️ Tech Stack & Requirements Strong experience with AWS (must-have) Deep expertise in time-series forecasting (must-have) Experience with:Python, ML/DL frameworks large-scale data pipelines MLOps and production systems

Solid background in statistics, experimentation, and causal inference

💡 Why Join Work on high-impact forecasting problems that directly influence business decisions Own end-to-end solutions — from modeling to production Shape the future of data-driven planning and optimization Collaborate with senior stakeholders across product, engineering, and operations

Skills

MLAWSLLMPythonDeep LearningData ScienceMachine Learning

Want AI to find more roles like this?

Upload your CV once. Get matched to relevant assignments automatically.

Try personalized matching