Data Science Intern

StreetLight pioneered the use of Big Data analytics to help transportation professionals and data analysts understand mobility behavior. Applying proprietary machine-learning algorithms to over four trillion spatial data points over time, StreetLight measures diverse travel patterns and makes them available on-demand via the world's first SaaS platform for mobility, StreetLight InSight®. From measuring traffic volumes to identifying trip origins and destinations, to planning for electric vehicles charging, StreetLight powers more than 6,000 global projects every month. StreetLight Data is seeking a curious, data-driven, detail-oriented intern to join our Data and Metrics Quality team this summer. They'll be responsible for contributing to a data quality effort focused on vehicular counter data, a fundamental input to our vehicular volume models deployed across a suite of products lines. This work will help ensure StreetLight's metrics appropriately meet real-world expectations and customer scenarios.

Key Responsibilities:

Investigate outliers and other data anomalies present in our permanent counter datasets. Implement changes and edits to permanent counter locations to support improvements in modelling processes. Propose improvements or changes to existing counter quality criteria. Effectively communicate results to stakeholders, providing thorough documentation and supporting visualizations of data for informed decision-making. Collaborate with other Data Scientists, Data Engineers and Product Managers to ensure data sources meet quality standards. A student currently pursuing a graduate degree in Urban Planning, Transportation or a related Engineering discipline from a top university. Undergraduates pursuing similar fields may also be considered. Highly organized, detail-oriented, and methodical in reporting and documenting work. Strong analytical skills, experience using data to solve problems, inform decision making, and tell stories. Experience working with geospatial data (ArcGIS or QGIS) Familiarity with SQL and relational databases (PostgreSQL or BigQuery preferred). Familiarity with data science and/or statistics, using tools such as Python or R. Very strong communication skills - written, visual (presentations) and verbal. Quick learner, and a strong team player. Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.