The San Francisco International Airport is looking to optimize the guest experience, reduce costs, and increase revenue by leveraging big data analytics, machine learning, and artificial intelligence.
Requirements
- 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.
- Knowledge AWS Sagemaker, Azure ML, GCP Vertex AI, or Snowflake Cortex.
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 and unstructured data.
- Work closely with Data Engineers, Architects and CI/CD Engineers to design data pipelines that handle structured and/or unstructured data efficiently.
- Lead a team of data scientists, machine learning engineers, to provide mentorship and foster innovation.
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.
- Five (5) years of experience with probability and statistics, including experimental design, predictive modeling, optimization, and causal inference.
- A highly collaborative mindset, eager to work cross-functionally with diverse teams and contribute to a shared mission.
- Ability to lift, push, pull and/or carry the weight of computer systems equipment.
- Ability to work in a fast-paced environment and meet deadlines.
