Senior Data Scientist

Implement AI Solutions: Utilize technologies like Watson AI and IBM Granite to develop advanced applications. Data Analysis: Extract, clean, and preprocess data, conducting exploratory analysis for insights. Machine Learning Development: Design and deploy machine learning models to enhance platform features, optimizing for accuracy. Statistical Reporting: Apply statistical techniques to validate models and create visualizations for stakeholders. Collaboration: Work with cross-functional teams to integrate models into production systems. Data Management: Develop scalable pipelines for large datasets on cloud platforms while ensuring compliance and data security. Desired Candidate Profile 5+ years of experience as a Data Scientist, preferably in fintech or startup environments. Bachelor s or master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Proven track record in managing large-scale AI/ML projects, with experience in Generative AI and Large Language Models desirable. Proficiency in programming languages (Python, R, or Scala) and machine learning frameworks (TensorFlow, PyTorch). Strong knowledge of Natural Language Processing (NLP) and AI ethics.