Lead Data Scientist

Staffing Spot, Inc.; Chandler (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Staffing Spot, Inc. seeks an experienced data science leader to drive end-to-end projects from problem framing to production deployment. You will develop ML and DL models, and design Generative AI, LLM, and RAG workflows to solve complex business problems.

You will mentor teams, set experimentation standards, ensure model monitoring, and collaborate with engineering, product, and business stakeholders. Strong leadership and cloud experience are essential.

Qualifications

• Degree in a relevant field (CS/Math/Engineering).
• 10 years of experience in data science, ML, or advanced analytics.

Responsibilities

• Lead end-to-end data science projects from problem definition to production deployment.
• Develop and optimize ML, DL, and statistical models.
• Design and implement Generative AI, LLM, and RAG-based solutions.

Skills

Python

SQL

ML/AI

Leadership

Communication

Feature engineering

Model evaluation

Recommender systems

Prescriptive optimization

MLOps

Education

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

Tools

Pandas

scikit-learn

TensorFlow

PyTorch

Hugging Face

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

Model monitoring

Job description

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