Lead Data Scientist
Core
Lead a team of data scientists to apply advanced analytics, statistical modeling, and machine learning (including GenAI/LLMs) to solve complex business problems and drive data-informed decision-making for SMB clients.
Role type
Lead Data Scientist (Enterprise Data & Analytics)
Builds
Predictive and prescriptive models, analytical frameworks, and scalable AI solutions
Domain
Human Resources / SMB Services / Data Science
Deliverable
production ML models
Required skills
Python, R, statistics, machine learning, NLP, LLMs, prompt engineering, RAG, feature engineering, model validation, business problem framing
Preferred skills
Azure Data Scientist Associate, AWS Machine Learning-Specialty, Google Cloud Professional Machine Learning Engineer, TensorFlow, Certified Analytics Professional
Technologies
Python, R, Azure, AWS, Google Cloud, TensorFlow
Responsibilities
Develop, test, and deploy statistical and machine learning models; Partner with stakeholders to define analytical problems and success criteria; Apply NLP and LLM-based techniques to solve complex business problems; Engineer features from structured and unstructured data; Validate model performance and collaborate with engineering teams to operationalize models; Communicate findings and recommendations to technical and non-technical audiences
Seniority
Senior, hands-on IC with leadership responsibilities
