Data Scientist / AI/ML Engineer Location - (REMOTE) Duration - Long Term Exp. - 10 yrs+ Job Description :- Essential Duties/Responsibilities: Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering projects Apply machine learning or reinforcement learning to optimize marketing efforts with respect to customer acquisition, retention, pricing, cross-selling, operations and trading. Passion to learn latest Al techniques and explore applications for large language models Strong knowledge of Python or R (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Solid SQL skills and experience working with large-scale databases. Proficiency in machine learning algorithms: regression, classification, clustering, NLP, etc. Design, build, and deploy NLP models for tasks such as entity recognition, text classification, sentiment analysis, topic modeling, summarization, and question answering. Apply advanced techniques including LLMs, embeddings, and prompt engineering where needed. Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects Ability to communicate and establish good relations with multi-disciplinary teams Proficiency with Python, including pandas, scikit-learn Experience in Spark or Pyspark Minimum Requirements: Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required. 2+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research Preferred Qualifications: Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred. Additional Knowledge, Skills and Abilities: Experience with Databricks Experience with AWS SageMaker Experience with Azure Al Studio