Lead Data Scientist

Staffing Spot, Inc.; Charlotte (NC); Sur place; USD 170 000 - 230 000; Plein temps

Résumé du poste

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,

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Python

SQL

Leadership

Communication

MLops

Cloud

Formation

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

Outils

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

Hugging Face

AWS

Azure

GCP

SageMaker

Description du poste

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

Key Responsibilities

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

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 10 years of experience in data science, machine learning, or advanced analytics, depending on the organization.
• Strong proficiency in Python, SQL, and libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.
• Expertise in supervised and unsupervised learning, feature engineering, model evaluation, and statistical methods.
• Experience deploying models using cloud platforms such as AWS, Azure, or GCP.
• Knowledge of ML pipelines, Docker, Kubernetes, CI/CD, and model monitoring.
• Strong communication, stakeholder management, and technical leadership skills.
• Strong hands-on experience building predictive machine learning models, recommender systems, ranking models, and prescriptive optimization models
• Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.)

Skills: ml,machine learning,data science,aws,leadership,sql,data,artificial intelligence,data models,python