Data Scientist

• Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business
• Partnering on the design and implementation of statistical data quality procedures for existing and new data sources
• Communicating complex data science solutions, concepts, and analyses to team members and business leaders
• Presenting data insights & recommendations to key stakeholders
• Establishing links across existing data sources and finding new, interesting data correlations
• Ensuring testing and validation are components of all analytics solutions

Skills

• Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, and statistical modeling
• Proficiency in programming languages such as Python and SQL for data analysis and model development.
• Working with text data including Natural Language Processing (NLP) techniques such as tokenization, lemmatization, sentiment analysis, text classification, topic modeling, and entity recognition
• Hands-on experience with advanced AI techniques such as Retrieval-Augmented Generation (RAG), vector databases, and LLM integration for enhanced information retrieval and generation, GPT, and BERT
• Strong understanding of Machine Learning concepts including supervised and unsupervised learning, model training, evaluation, and deployment