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Essential duties include but are not limited to the following:
Help define and build out key analytical projects and work with data product managers to develop a strategy to empower decisions with data insights.
Manage a portfolio of analytical projects from conception to implementation
Conduct a range of analyses or experiments using generative AI/machine learning/statistical methods and tools
Develop data visualizations and data products to support the analysis
Conduct research and policy analysis as needed to inform the data analysis
Develop presentations and communicate the results of your work
Help develop and implement products services tools or business process changes resulting from the analysis to enable end users to use the insights in decision-making or operations
Create and maintain data pipelines for data science projects as needed
Provide technical assistance to and develop guidance for department partners implementing their own analytical work
Develop documentation and trainings to enable other department partners to leverage data science products and tools
We are looking for someone who has:
Experience tailoring analytical solutions to solve problems and/or generate new insights
Deep understanding of statistical concepts experimental design and various machine learning algorithms (e.g. regression classification clustering time series).
Strong programming skills in Python (with libraries like pandas scikit-learn TensorFlow/PyTorch) or R for data manipulation statistical analysis and machine learning.
Proficiency in SQL for data querying and analysis.
Hands-on experience with cloud data platforms.
Familiarity with data orchestration tools like Azure Data Factory or similar.
Experience with advanced methods such as experimentation geospatial analysis simulation time series etc.
Experience or demonstrated interest in the public sector and civic data.
Experience with geospatial analysis
Experience with MLOps practices for deploying and monitoring models in production.
Experience working with unstructured data
Experience with dbt for data transformation and modeling.
Experience developing and deploying production Generative AI-based data products (i.e. RAG leveraging LLM integrations AI Agents MCPs etc.)
Experience mentoring junior data scientists and analysts and fostering analytical communities in prior roles
A passion for using data to improve government services and a strong commitment to the principles of equity transparency and ethical data use.
An empathetic understanding of the diverse array of experiences embodied in San Francisco and a desire to contribute to making services and knowledge more accessible for all residents.
A few reasons you might love this job:
Nature of Work: Incumbent must be willing to work a 40-hour per week schedule. The department has a hybrid work schedule.
Qualifications :
Minimum qualifications
Education: An associate degree in computer science computer engineering information systems or a closely related field from an accredited college or university OR its equivalent in terms of total course credits/units i.e. at least sixty (60) semester or ninety (90) quarter credits/units with a minimum of twenty (20) semester or thirty (30) quarter credits/units in one of the fields above or a closely-related field.
Experience: Three (3) years of experience analyzing installing configuring enhancing and/or maintaining the components of an enterprise network.
Substitution: Additional experience as described above may be substituted for the required degree on a year-for-year basis (up to a maximum of two (2) years). One (1) year is equivalent to thirty (30) semester units/ forty-five (45) quarter units with a minimum of 10 semester / 15 quarter units in one of the fields above or a closely related field.
Completion of the 1010 Information Systems Trainee Program may be substituted for the required degree.
Verification:
Please make sure it is clear in your application exactly how you meet the minimum qualifications. Applicants will be required to submit verification of qualifying education and experience during the recruitment and selection process. For information on how to verify experience and/or education requirements including verifying foreign education credits or degree equivalency please visit Verification of Experience and/or Education.
Note: Falsifying ones education training or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco.
Applicants must meet the minimum qualification requirement by the final application deadline unless otherwise noted.
Additional Information :
Selection Procedures
The selection process will include evaluation of applications in relation to minimum requirements and assessment of candidates job-related knowledge skills and abilities. Depending on the number of applicants the Department may establish and implement additional screening mechanisms to evaluate candidate qualifications. This typically includes an oral interview and/or a written or performance exercise.
If this becomes necessary only those applicants whose qualifications most closely meet the Department needs will be invited to continue in the selection process. Applicants meeting the minimum requirements are not guaranteed advancement in the selection process.
To find Departments which use this classification please see: Information Regarding Employment with the City and County of San Francisco:
How to Apply:
Applications for City and County of San Francisco jobs are only accepted through an online process. Visit and begin the application process.
For best practices on the application process please visit Apply for Jobs in the City and County of San Francisco Best Practices Guide. Applicants may be contacted by email about this announcement and therefore it is their responsibility to ensure that their registered email address is accurate and kept up-to-date. Also applicants must ensure that email from CCSF is not blocked on their computer by a spam filter. To prevent blocking applicants should set up their email to accept CCSF mail from the following addresses @ @ @ @ @ @ @ @ @ @ @ @ @ @ and @).
Applicants will receive a confirmation email that their online application has been received in response to every announcement for which they file. Applicants should retain this confirmation email for their records. Failure to receive this email means that the online application was not submitted or received.
All your information will be kept confidential according to EEO guidelines.
HR Analyst Information: If you have any questions regarding this recruitment or application process please contact Connie Poon at
Condition of Employment:
The City and County of San Francisco encourages women minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex race age religion color national origin ancestry physical disability mental disability medical condition (associated with cancer a history of cancer or genetic characteristics) HIV/AIDS status genetic information marital status sexual orientation gender gender identity gender expression military and veteran status or other protected category under the law.
The City and County of San Francisco encourages women minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex race age religion color national origin ancestry physical disability mental disability medical condition (associated with cancer a history of cancer or genetic characteristics) HIV/AIDS status genetic information marital status sexual orientation gender gender identity gender expression military and veteran status or other protected category under the law.
Remote Work :
No
Employment Type :
Full-time
Full-time