SFO aims to optimize the guest experience at the airport, reduce operational costs, and increase revenue through the integration of video analytics, structured/unstructured data, and AI/ML capabilities into business strategies.
Requirements
- Five (5) years of experience with probability and statistics, including experimental design, predictive modeling, optimization, and causal inference.
- Experience with machine learning concepts: regression and classification, clustering, feature selection, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.
- Knowledge in time-series analysis.
- Familiarity with scripting language and/or shell scripting.
- Software development life-cycle experience, with proven track record of shipping products.
- Experience with big data and distributed system technologies like Hadoop, Mongo, Couch, Spark.
- Knowledge of both SQL and NoSQL databases.
Responsibilities
- Define the roadmap for integrating video analytics, structured and unstructured data, and Artificial Intelligence/Machine Learning (AI/ML) capabilities into business strategies.
- Identify opportunities to leverage video data for insights, automation, and innovation.
- Align data science initiatives with organizational goals, ensuring measurable business impact.
- Lead the development of solutions for extracting insights from video, structured and unstructured data.
- Research, prototype, and deploy advanced AI/ML models for structured (3rd Party applications, APIs, streaming data) and unstructured data (video/audio/other). Oversee model lifecycle management, from design to deployment and monitoring; ensure scalability, performance, and accuracy of AI/ML solutions.
- Work closely with Data Engineers, Architects and CI/CD Engineers to design data pipelines that handle structured and/or unstructured data efficiently. Implement real-time and batch processing capabilities for data streams. Proficiency in DataOps or MLOps methodologies and processes for integration and automation in cloud environments.
- Develop metrics and KPIs to evaluate the performance of video analytics systems. Implement continuous improvement strategies by iterating on models and algorithms. Ensure systems comply with ethical guidelines, data privacy laws, and fairness standards.
Other
- An associate degree in computer science or a closely related field from an accredited college or university OR its equivalent in terms of total course credits/units.
- Permanent Exempt appointment type, excluded by the Charter from the competitive civil service examination process.
- Candidates must undergo a criminal history record check, including FBI fingerprints, and Security Threat Assessment in order to determine eligibility for security clearance.
- May require sufficient strength and coordination for lifting, pushing, pulling and/or carrying the weight of computer systems equipment.
- May require bending, stooping and/or crawling in order to install or repair computer systems hardware.
