City and County of San Francisco
Data Science Lead (9976) - ITT Division SFO (PEX)
City and County of San Francisco, San Francisco, California, United States, 94199
Overview
Company: San Francisco International Airport (SFO) – ITT Division. Job title: Data Science Lead, reporting to Data Engineering/Data Science Manager. The role focuses on big data analytics from data science and data engineering perspectives, including data manipulation, visualization, and building and optimizing classifiers with machine learning and deep learning techniques to optimize the guest experience and reduce costs for airport operations and increase revenue. Appointment type: Permanent Exempt. This position is exempt from the competitive civil service examination process and serves at the discretion of the Appointing Officer. Location: San Francisco International Airport, ITT Division. Schedule: Full-time, 40 hours per week. Salary: $165,334 to $207,974 annually. Application Opened: Thursday, September 4, 2025. Application Deadline: Thursday, September 18, 2025, at 5:00 PM PDT. Recruitment ID: RTF0157425 - 159180. Responsibilities
Define the roadmap for integrating video analytics, structured and unstructured data, and 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 with Data Engineers, Architects, and CI/CD Engineers to design data pipelines for structured and/or unstructured data; implement real-time and batch processing; apply DataOps or MLOps for cloud integration and automation. Lead a team of data scientists and machine learning engineers; mentor and foster cross-functional collaboration and knowledge sharing. Stay current on trends in video analytics, computer vision, and AI/ML; experiment with state-of-the-art algorithms and foster partnerships with academic or industry collaborators. Develop metrics and KPIs to evaluate video analytics systems; drive continuous improvement and ensure compliance with ethical guidelines, data privacy laws, and fairness standards. Present findings and ROI of analytics initiatives to executives and stakeholders; drive adoption of AI/ML solutions across the organization. Minimum Qualifications
Education:
An associate degree in computer science or a closely related field from an accredited college or university OR equivalent in total course credits/units (at least 60 semester or 90 quarter credits, with a minimum of 20 semester or 30 quarter credits in computer science or a related field). Experience:
Five (5) years of experience with probability and statistics, including experimental design, predictive modeling, optimization, and causal inference. Substitution:
Additional experience may be substituted for the required degree on a year-for-year basis (up to 2 years). One year is equivalent to 30 semester units or 45 quarter units with a minimum of 10 semester/15 quarter units in one of the relevant fields. Desirable Qualifications
Bachelor’s or Master’s degree in applied mathematics, statistics, computer science, physics, engineering, or related field. Experience with machine learning concepts: regression, classification, clustering, feature selection, bias-variance tradeoff, neural networks, SVMs, etc. Knowledge in time-series analysis. Familiarity with scripting language and shell scripting. Software development life-cycle experience and track record of shipping products. Experience with big data and distributed systems technologies (Hadoop, Mongo, Couch, Spark). Knowledge of SQL and NoSQL databases. Knowledge of cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and Snowflake Cortex. Knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.). Experience in Java, Pig, Python, or Scala. Knowledge or experience with security, machine learning, and AWS Cloud (S3, EC2, ELB, EMR, CloudFormation) is a plus. A highly collaborative mindset and willingness to work cross-functionally. Supplemental Information
Essential duties may require lifting, pushing, pulling, or carrying computer systems equipment and may involve bending, stooping, or crawling to install or repair hardware. May involve extensive VDT exposure. Verification and Selection
All applications are reviewed to verify minimum qualifications. The department may implement additional screening mechanisms. Applicants meeting minimum qualifications are not guaranteed advancement to interview. Additional notes: see the full selection procedure in the job posting. Security Clearance
Candidates are required to undergo a criminal history check, FBI fingerprints, and Security Threat Assessment to determine eligibility for security clearance. Failure to obtain or maintain security clearance may result in termination. How to Apply
Applications are accepted online only. Visit the online portal and begin the application process. Ensure your registered email address is accurate and not blocked by spam filters. Equal Employment Opportunity
The City and County of San Francisco is an equal opportunity employer and encourages women, minorities, and persons with disabilities to apply. Information kept confidential per EEO guidelines.
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Company: San Francisco International Airport (SFO) – ITT Division. Job title: Data Science Lead, reporting to Data Engineering/Data Science Manager. The role focuses on big data analytics from data science and data engineering perspectives, including data manipulation, visualization, and building and optimizing classifiers with machine learning and deep learning techniques to optimize the guest experience and reduce costs for airport operations and increase revenue. Appointment type: Permanent Exempt. This position is exempt from the competitive civil service examination process and serves at the discretion of the Appointing Officer. Location: San Francisco International Airport, ITT Division. Schedule: Full-time, 40 hours per week. Salary: $165,334 to $207,974 annually. Application Opened: Thursday, September 4, 2025. Application Deadline: Thursday, September 18, 2025, at 5:00 PM PDT. Recruitment ID: RTF0157425 - 159180. Responsibilities
Define the roadmap for integrating video analytics, structured and unstructured data, and 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 with Data Engineers, Architects, and CI/CD Engineers to design data pipelines for structured and/or unstructured data; implement real-time and batch processing; apply DataOps or MLOps for cloud integration and automation. Lead a team of data scientists and machine learning engineers; mentor and foster cross-functional collaboration and knowledge sharing. Stay current on trends in video analytics, computer vision, and AI/ML; experiment with state-of-the-art algorithms and foster partnerships with academic or industry collaborators. Develop metrics and KPIs to evaluate video analytics systems; drive continuous improvement and ensure compliance with ethical guidelines, data privacy laws, and fairness standards. Present findings and ROI of analytics initiatives to executives and stakeholders; drive adoption of AI/ML solutions across the organization. Minimum Qualifications
Education:
An associate degree in computer science or a closely related field from an accredited college or university OR equivalent in total course credits/units (at least 60 semester or 90 quarter credits, with a minimum of 20 semester or 30 quarter credits in computer science or a related field). Experience:
Five (5) years of experience with probability and statistics, including experimental design, predictive modeling, optimization, and causal inference. Substitution:
Additional experience may be substituted for the required degree on a year-for-year basis (up to 2 years). One year is equivalent to 30 semester units or 45 quarter units with a minimum of 10 semester/15 quarter units in one of the relevant fields. Desirable Qualifications
Bachelor’s or Master’s degree in applied mathematics, statistics, computer science, physics, engineering, or related field. Experience with machine learning concepts: regression, classification, clustering, feature selection, bias-variance tradeoff, neural networks, SVMs, etc. Knowledge in time-series analysis. Familiarity with scripting language and shell scripting. Software development life-cycle experience and track record of shipping products. Experience with big data and distributed systems technologies (Hadoop, Mongo, Couch, Spark). Knowledge of SQL and NoSQL databases. Knowledge of cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and Snowflake Cortex. Knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.). Experience in Java, Pig, Python, or Scala. Knowledge or experience with security, machine learning, and AWS Cloud (S3, EC2, ELB, EMR, CloudFormation) is a plus. A highly collaborative mindset and willingness to work cross-functionally. Supplemental Information
Essential duties may require lifting, pushing, pulling, or carrying computer systems equipment and may involve bending, stooping, or crawling to install or repair hardware. May involve extensive VDT exposure. Verification and Selection
All applications are reviewed to verify minimum qualifications. The department may implement additional screening mechanisms. Applicants meeting minimum qualifications are not guaranteed advancement to interview. Additional notes: see the full selection procedure in the job posting. Security Clearance
Candidates are required to undergo a criminal history check, FBI fingerprints, and Security Threat Assessment to determine eligibility for security clearance. Failure to obtain or maintain security clearance may result in termination. How to Apply
Applications are accepted online only. Visit the online portal and begin the application process. Ensure your registered email address is accurate and not blocked by spam filters. Equal Employment Opportunity
The City and County of San Francisco is an equal opportunity employer and encourages women, minorities, and persons with disabilities to apply. Information kept confidential per EEO guidelines.
#J-18808-Ljbffr