Data Scientist I/II/Associate

Description

Overview

Our mission is to maintain and improve the quality of life for everyone who calls this region home. The San Diego Association of Governments (SANDAG) is both a metropolitan planning organization and a council of governments, bringing together local decision-makers to develop solutions to regional issues including improving equity, transportation, air quality, clean energy, economic development, goods movement, public health, public safety, housing, and more.

Our current focus is to serve as a data-driven agency, speeding up the delivery of exciting, large-scale infrastructure projects throughout the region. This includes building infrastructure to link transit connections, boosting cross-border travel between the U.S. and Mexico with a new, high-tech border crossing facility, and fortifying our coastal railway corridor against erosion. Other important SANDAG initiatives include administering the TransNet Program, regional tolling operations, providing a forum for housing needs, and offering funding and technical assistance to member agencies.

Role

The Data Scientist I, II, Associate will contribute as a critical team member in Data Science department to develop data-driven analytics applications across the agency and support various agency priority projects. This position is ideal for someone who enjoys analytical and critical thinking and problem solving who is highly organized, hands-on, flexible, and can be relied upon to meet deadlines with changing priorities.

Salary Range

This position will be filled at the I, II, or Associate level depending on qualifications and experience of the selected candidate.

Annual Salary Ranges

Data Scientist I: $72,197-$111,925

Data Scientist II: $79,622-$123,427

Associate Data Scientist: $92,206-$142,938

Job Responsibilities

• Perform data mining, data discovery and scientific analysis of large data sets and translate findings into digestible information and visualization to support various agency priority projects.
• Support multiple highly visible agency priority projects involving statistical analysis of various data sources and model development using a variety of machine learning algorithms. Determine the data to be used, develop methodology, and write the statistical programming required to generate results.
• Research and develop analytics using critical thinking capability; ensure accuracy of information; maintain databases, and documentation.
• Collect and process data using various software applications and programs, develop databases, code data for input, document data files, run programs, identify and resolve data inconsistencies, and edit and correct data files.
• Participate in Quality Assurance/Quality Control (QA/QC) processes to improve process and quality.
• Prepare written technical and analytical reports and present findings and recommendations to a variety of audiences, respond to questions and provide feedback.
  
  

Typical Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Economics, Mathematics, or other hard science related fields. Master’s degree preferred.
• Two years of recent experience with applied research and development
• Proficiency in programming languages such as Python, R, SQL, and Jupyter notebook in developing analytics applications.
• Proficiency in implementing Extract, Transform and Load (ETL) processes
• Experience with relational database such as SQL Server, including writing queries that transform and summarize data.
• Knowledge of developing algorithms using machine learning and artificial intelligence methodologies.
• Knowledge of cloud computing environment such as Azure.
• Knowledge of research methods and experimental designs.
• Knowledge of data visualization tools such as Tableau, Power BI, or Esri applications
• Ability to communicate effectively, both orally and in writing; ability to prepare presentations and scientific reports.
• Ability to work collaboratively with other teams. Strong organizational skills and attention to detail, and ability to maintain a high level of accuracy on deliverables.
• Ability to support ad-hoc research and development work as needed and present research findings.
• Flexibility and willingness to perform a variety of tasks aligned with the position.