Data Scientist, Data and Metrics Quality Team

  • Jacobs
  • Chicago, Illinois
  • Full Time
at Jacobs in Chicago, Illinois, United States Job Description 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 creative, versatile, and motivated Data Scientist to be part of our growing team. This team member will be responsible for characterization and quality control for the metrics and data pipeline supporting StreetLight Data's suite of products. They will help ensure StreetLight's metrics appropriately meet real-world expectations and customer scenarios, and will also contribute to the development of the analytics and data pipeline as needed. This position reports to the Data Science Manager, Data and Metrics Quality team. Key Responsibilities: Characterize, validate and monitor the quality of StreetLight's metrics, algorithms, and data artifacts. Assist with the design and implementation of algorithms to infer key transportation patterns from various data sources. Perform Data QA on incoming data feeds and investigate data anomalies. Aggregate and process real-world data for modeling and validation efforts. Effectively communicate final results to stakeholders, providing thorough documentation and supporting interactive visualizations of data for informed decision-making. Create visualizations and dashboards to help tell stories with data. Collaborate with other Data Scientists, Data Engineers and Product Managers to ensure data sources meet quality standards. Location: Remote (or hybrid if you prefer partial in office) in the United States or Canada BS/MS in Mathematics, Computer Science, Urban Planning, or an Engineering discipline from a top university, or a PhD focused on quantitative research. 4+ years of experience in data science and/or statistics, using tools such as Python or R. 4+ years of experience in SQL and relational databases (PostgreSQL or BigQuery preferred ), and good understanding of relational concepts. Strong understanding of techniques in data science (machine learning algorithms, regression analysis, etc.) Strong analytical skills, experience using data to solve problems, inform decision making, and tell stories. An eagerness to problem-solve and desire to take initiative in defining requirements for ambiguous projects. Ability to accurately estimate the time requirements for complex tasks, meet those targets, and make compromises to enable scalability and productization of algorithms. Highly organized, detail-oriented, and methodical in reporting and documenting work. Very strong communication skills - written, visual (presentations) and verbal. Technical writing skills. Experience synthesizing complex technical concepts for less technical audiences. Quick learner, and a strong team player. Geo-spatial skills are a plus. Knowledge of transportation data / industry is a plus. 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. To view full details and how to apply, please login or create a Job Seeker account
Job ID: 479734686
Originally Posted on: 6/4/2025

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