Senior Data Scientist - DataSF (1043)
City and County of San FranciscoAbout the role
Company Description
Do you want to transform City services through the use of data science and analytics? Join the DataSF team to empower and expand use of data in government!
DataSF’s mission is to transform the way San Francisco works with data. We believe that data, when harnessed effectively, can improve transparency, citizen engagement, and government performance. We are committed to removing barriers and making it easier for all people to access services and knowledge, and we actively seek team members whose diverse life experiences reflect the residents we serve.
We are committed to equity in our hiring, team culture, and product outcomes and to fostering an inclusive work environment. We are building a team that reflects a diverse set of lived experiences and identities. This effort includes considering qualified candidates across a spectrum of races, colors, religions, genders, gender identities, sexual orientations, national origins, genetics, disabilities, ages, or veteran status. If you’re looking for a team where you can make an impact and improve the lives of all San Francisco residents, then we want to hear from you.
DataSF is seeking a Senior Data Scientist with 3+ years of experience to join our growing team. Reporting to the City’s Chief Data Officer, you will be instrumental in building the city's decision intelligence capabilities. This is an exciting position for someone eager to apply advanced analytical techniques to complex urban challenges, contributing directly to San Francisco's commitment to equitable and ethical service delivery.
You can learn more about our data science service and completed projects.
If you are an entrepreneurial and passionate data enthusiast, join our team to improve government through good use of data!
Job Description
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:
- Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders and influence decisions.
- Ability to break down complex problems, design appropriate analytical approaches, and deliver practical, impactful solutions.
- A highly collaborative mindset, eager to work cross-functionally with diverse teams and contribute to a shared mission.
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 an
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