Job Description
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
