Research Scientist

Role: Research ScientistDuration: Through 2026 with extensionsRequired Skills & Experience-Strong fundamentals in machine learning concepts-Hands-on experience with deep learning / neural networks and modern AI approaches-Solid understanding of model evaluation, limitations, and trade-offs-Ability to explain models and results in simple, intuitive terms-Experience with Explainable AI (XAI) concepts and techniques-Strong judgment on when Generative AI adds value—and when it does not-Understanding of agentic AI concepts (design-level grasp is sufficient)Data & Use Cases-Time series and temporal data analysis-Numerical and high-dimensional tabular datasets-Anomaly detection, trend modeling, and outlier identification-Applying ML outputs directly to business decision-makingProgramming & Tools-Python (practical proficiency; perfection not required)-PyTorch (preferred over TensorFlow)-scikit-learn, XGBoost, pandas-Experience with Python ML libraries in time series and tabular contexts-Deployment experience on Azure or a comparable cloud platformJob DescriptionWe are seeking a business-oriented Machine Learning Engineer with strong fundamentals in classical ML and modern AI, including Generative AI. This role focuses on applying AI to real-world business problems, particularly in time series, tabular, and document-based data.The ideal candidate is comfortable working autonomously, collaborating across international teams, and translating complex analytical findings into clear, actionable insights for stakeholders.Key Responsibilities-Analyze complex datasets (time series, tabular, numerical, and temporal data) to identify patterns, trends, anomalies, and outliers-Design, build, evaluate, and explain ML models aligned to real business use cases-Break down ambiguous or complex business problems into solvable ML tasks-Interpret model results, analyze errors, and connect outcomes back to business impact-Communicate findings clearly to non-technical stakeholders and ask the right follow-up questions-Propose and iterate on AI-driven solutions based on data insights-Collaborate closely with cross-functional and international teams in English

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