Senior Lead Data Scientist: AI, ML, LLMs & MLOps

Staffing Spot, Inc.; Charlotte (NC); Vor Ort; USD 170.000 - 230.000; Vollzeit

Zusammenfassung

Staffing Spot, Inc. seeks a senior data science leader to oversee end-to-end projects from problem definition to production deployment.

You will develop and optimize machine learning, deep learning, and statistical models, and design Generative AI, LLM, and RAG-based solutions where applicable. You will translate complex business problems into analytical and predictive solutions, establish experimentation and governance practices, mentor data scientists, and partner with engineering, product,

Qualifikationen

• Bachelor's or Master's in CS, Statistics, Mathematics, Engineering, or related field.
• 10 years of data science, ML, or advanced analytics experience.
• Strong Python, SQL, and ML libraries proficiency.
• Experience deploying models on cloud platforms and building ML pipelines.

Aufgaben

• Lead end-to-end data science projects from problem definition to production deployment.
• Develop and optimize ML, DL, and statistical models.
• Design Generative AI, LLM, and RAG-based solutions.
• Translate business problems into predictive analytics.
• Establish best practices for experimentation, validation, explainability, and monitoring.
• Mentor data scientists and review technical deliverables.
• Partner with engineering, product, and business stakeholders.
• Drive MLOps, model governance, scalability, and responsible AI.
• Present insights and recommendations to senior leadership.

Kenntnisse

Python

SQL

Leadership

Communication

MLops

Cloud

Ausbildung

Bachelor's or Master's in CS/Stats/Math/Engineering

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

Hugging Face

AWS

Azure

GCP

SageMaker

Jobbeschreibung

Staffing Spot, Inc. seeks a senior data science leader to oversee end-to-end projects from problem definition to production deployment.

You will develop and optimize machine learning, deep learning, and statistical models, and design Generative AI, LLM, and RAG-based solutions where applicable. You will translate complex business problems into analytical and predictive solutions, establish experimentation and governance practices, mentor data scientists, and partner with engineering, product,