Analyze raw data: assess data quality, perform data cleansing, and structure data for downstream processing. • Design accurate, scalable, and production-ready prediction algorithms. • Develop and implement generative AI models and large language models (LLMs) to solve complex business problems. • Generate actionable insights to drive business improvements and optimize decision-making processes. • Present data findings effectively using advanced data visualization techniques and tools. • Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions. Qualifications: • Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, or related) or equivalent experience. • 3+ years of experience in data analytics, statistical data modeling, or data science. • Proficiency in developing predictive models, including machine learning algorithms, classification techniques, and generative AI models. • Strong knowledge of Python and its data science libraries (e.g., pandas, numpy, scikit-learn) and generative AI libraries (e.g., Hugging Face Transformers, GPT-3, PyTorch, TensorFlow). • Familiarity with large language models (LLMs) and their applications. • Competency in SQL for data querying and manipulation; familiarity with Scala is a plus. • Strong analytical thinking and problem-solving skills. • Experience using business intelligence tools (e.g., Tableau, Power BI, or Looker) for data visualization and reporting. • Ability to work effectively in a fast-paced, collaborative environment.