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Lead Data Scientist

Staffing Spot, Inc. · Chandler, AZ

Spotted 3d ago

Job details

Level
Staff / principal
Experience
10+ years
Education
Bachelor's degree
Posted
Oct 20, 2026
Last confirmed open
Oct 20, 2026
Job description

About this role

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
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