We’re looking for a Data Scientist with a strong foundation in machine learning and a practical approach to building scalable, production-ready models. The ideal candidate is experienced in working with time-series data, deep learning architectures, and natural language processing.

Job Description:

• Collect, clean, and transform structured and unstructured data for modeling
• Choose appropriate machine learning models based on problem requirements, and evaluate performance using relevant metrics
• Optimize hyperparameters and refine model performance through iteration
• Communicate insights and results clearly through visualizations, reports, and presentations
• Deploy models into production environments and monitor performance to ensure long-term reliability and scalability

Key Qualifications:

• Mid to senior-level in data science and applied machine learning

• Solid understanding of core ML concepts and hands-on experience implementing well-established models
• Experience with deep neural networks such as RNNs, LSTMs, and other architectures suited for time-series and numerical analysis
• Strong background in NLP; experience with fine-tuning or modifying Large Language Models (LLMs) is a plus
• Proven ability to develop and deploy scalable ML solutions in real-world applications
• Proficiency in Python; familiarity with R is a bonus