Lead AI Data Scientist - Applied AI & Prompt Engineering

Lead AI Data Scientist – Applied AI & Prompt Engineering

MS or PhD in Data Science, Statistics, Computer Science, or a related field
4+ years of experience in applied machine learning and advanced analytics
Effective communication skills to technical and non-technical audiences
Proficiency in Python (and optionally R or Scala), including libraries like scikit-learn, TensorFlow, PyTorch
Hands-on experience with generative models (e.g., GPT, diffusion models) or multimodal AI
Strong SQL and data engineering skills; Spark/Databricks experience is a plus
Experience deploying ML models to production (API, batch, or streaming environments)
Comfortable leading projects and collaborating cross-functionally in a fast-paced, client-facing setting
Familiarity with A/B testing platforms (Optimizely, Adobe Target), cloud AI services, or explainable AI tools

Lead development of advanced analytics and AI/ML models (e.g., classification, time series, GenAI, computer vision, associative rules and decisioning)
Design and oversee robust data pipelines using SQL, Spark, and cloud platforms (AWS, GCP, Azure)
Architect and implement solutions involving LLMs, transformer-based models, and AI agents for generative tasks and automation
Manage and mentor a team of data scientists; guide project execution and professional development
Collaborate with business stakeholders to translate problems into machine learning solutions, deliver insights, and drive model deployment
Own model lifecycle: from data exploration to production deployment and monitoring (MLOps)
Engage with multimodal data: text, image, audio, or behavioral data from web and app interactions
Ensure quality, reproducibility, and documentation of models and findings