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Data Science Analyst I

What do we offer?
A competitive salary, five year vested pension plan, great benefits package that includes health, vision and dental insurance, pet insurance, tuition reimbursement, qualifying childcare assistance, paid time off and more. 
Join our diverse workforce and help us in providing excellent service to the residents of Dallas while building a rewarding career. 

Position Purpose
The candidate will be responsible for supporting the city on its journey to becoming a data centric organization. Core responsibilities include assessment and creation of data inventories, analyses of various data streams, and utilization of large data sets to determine unique insights to further business needs. The ideal candidate will have deep data knowledge and skills, an eye for human centered design and a desire to tell concise and compelling data stories. By using available data and information, the Data Science Analyst will help the City become smarter, more efficient and effective in delivering services and programs to constituents.

Essential Functions
  • Develop mechanisms to ingest, analyze, validate, normalize, and clean data.
  • Retrieve and combine data from databases, websites, department systems, etc.
  • Use unstructured data and data mining techniques to extract valuable information.
  • Create data visualizations that clearly communicate trends and are accessible for non-technical audiences.
  • Develop tools to monitor and analyze model performance and data accuracy.
  • Collaborate with partners to produce and communicate insights to various levels of leadership.
  • Use data to aid City staff to make informed strategic decisions.
  • Contribute to the City’s Data Academy, Data Collaborative, Community of Practice, and other citywide data initiatives, as needed.
  • Support data analytics trainings, as needed.

Minimum Qualifications
  • Bachelor’s degree in a data science or related field (data science, math, statistics, social science, etc.) as determined by the Department Director.
  • 2 years of related experience (database management, operations, statistical analysis, etc.) required.
  • Graduate degree can substitute for 2 years of experience to satisfy the experience requirement as determined by the Department Director.
  • 8 years of data science or related field (data science, math, statistics, social science, etc.) can substitute for a bachelor’s degree.