AI Data Science Lead

3 weeks ago

San Francisco, California, United States ZipRecruiter Full time

At ZipRecruiter, we're committed to harnessing the power of artificial intelligence and machine learning to drive transformative change. We're seeking a seasoned data science leader to spearhead our AI/ML efforts and develop cutting-edge solutions that push the boundaries of what's possible.

Key Responsibilities:

  • Technical Leadership: Provide guidance, direction, and support to a team of AI/ML data scientists, driving innovation and execution in AI/ML development.
  • Project Planning and Execution: Oversee the planning and execution of AI/ML projects, defining project scope, objectives, and deliverables, and ensuring timely delivery within budget.
  • Model Development: Develop and implement advanced AI and ML models to solve complex business problems, leveraging techniques such as supervised learning, unsupervised learning, and deep learning.
  • Feature Engineering: Identify relevant features and engineer them from raw data to enhance model performance and predictive accuracy.
  • Model Evaluation and Validation: Evaluate and validate model performance, defining appropriate metrics and validation techniques to ensure robustness, reliability, and generalization.
  • Hyperparameter Tuning: Optimize model hyperparameters and configurations, leveraging techniques such as grid search, random search, and Bayesian optimization to maximize performance.
  • Model Deployment: Deploy AI and ML models into production environments, ensuring seamless integration with existing systems and platforms to enable real-time inference and decision-making.
  • Monitoring and Maintenance: Monitor and maintain deployed models, implementing monitoring and alerting systems to detect and mitigate issues proactively.

Qualifications:

  • Master's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field. PhD is a plus.
  • 7+ years of experience in data science, with a focus on AI and ML techniques and applications.
  • Leadership experience, with a demonstrated ability to lead and mentor a team of data scientists.
  • Proficiency in programming languages such as Python or R, and experience with data science libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and pandas.
  • Strong understanding of AI and ML concepts and algorithms, including supervised learning, unsupervised learning, deep learning, and reinforcement learning.
  • Experience with feature engineering, model evaluation, and hyperparameter tuning techniques.
  • Familiarity with machine learning deployment and productionization, including model deployment frameworks and containerization technologies.
  • Excellent problem-solving skills and analytical thinking, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Estimated Salary Range: $225,000 - $300,000 per year, based on industry standards and location.

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