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Senior Data Scientist Locations:
Tampa, FL Duration:
6+ Months Salary Range: $43 - $47/Hour on W2 (All inclusive) - Applicant must be willing to work on W2.
Key Responsibilities: 8+ years of experience in ML and AI development (or 4+ years with a PhD in a related field), 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 AI solutions, and the ability to mentor and guide junior team members. Solid ML predictive analytics experience is required. 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 AI/ML Model Development: Design, develop, and implement advanced machine learning models and statistical analyses to solve complex business challenges, leveraging diverse banking data. • Generative AI & NLP: Drive Generative AI 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 AI models and applications. • Research & Innovation: Proactively research and develop innovative AI 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.
Company Benefits & Culture
Inclusive and diverse work environment Opportunities for professional growth and development Comprehensive health and wellness benefits
Appreciate your quick response and please feel free to reach me out for any query you may have.
Thanks
Sprachkenntnisse
- English
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