Senior Data Scientist

Senior Data Scientist

Tampa, FL

12 months

8+ years of experience in ML and Al development, possessing hands-on expertise in machine learning, statistical analysis, Natural Language Processing (NLP), Generative AI (LLM). The ideal candidate will combine strong technical acumen, quick learning abilities, and a proven track record in high- value analytical projects. This role requires robust business understanding, the capacity to independently drive innovative Al solutions, and the ability to mentor and guide junior team members.

Key Responsibilities
Strategic Data Analysis & Insight Generation: Lead complex data analysis to uncover strategic insights, identify implications, and provide data-driven recommendations, effectively communicating findings through clear data visualizations.
Advanced Al/ML Model Development: Design, develop, and implement advanced machine learning models and statistical analyses to solve complex business challenges, leveraging diverse banking data. Generative Al & NLP: Drive Generative Al initiatives by developing and fine-tuning LLMs, applying efficient prompting strategies, utilizing LLMs for data augmentation, and integrating Retrieval-Augmented Generation (RAG, including advanced RAG) to enhance capabilities. Design and deploy high-accuracy NLP models for diverse applications.
Deep Learning Implementation: Apply advanced deep learning techniques (ANN, LSTM, CNN, BERT, XLNet, Transformers, neural & LLM-based embeddings) to create state-of-the-art Al models and applications. Research & Innovation: Proactively research and develop innovative Al solutions, staying abreast of the latest advancements in AI/ML to drive continuous business improvement.
Technical Expertise & Development: Demonstrate deep proficiency in Python (scikit-learn, pandas, Spacy, TensorFlow, PyTorch, transformers) and PySpark (including MLLib, SparkNLP). Utilize big data frameworks (Hive, Hue; with exposure to Impala, Spark streaming) to drive end-to-end modelling efforts.
Business Translation & Communication: Translate intricate business requirements into technical solutions, ensuring strong alignment and clear communication with stakeholders. Influence and collaborate effectively with cross-functional teams

Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required.