StreetLight pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight®. Acquired by Jacobs as a subsidiary in February 2022, StreetLight continues to provide innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment.

StreetLight Data is seeking a creative, versatile, and motivated Senior Data Scientist to be part of our growing team. This team member will lead data science projects to develop exciting new algorithms for our product, as well as help productize those algorithms into our scalable StreetLight InSight® analytics platform. This position reports to the Director of Data Science.

Location: Remote within the United States with a preference of West Coast (Pacific time)

What You'll Do:

●Design algorithms to infer key transportation patterns from various data sources

●Research and implement suitable strategies (e.g. regression models, ML models, etc.) for solving data science problems

●Find and build real-world data sets for training various models and doing quality checks

●Productize data science algorithms within the StreetLight InSight® platform, in collaboration with the Application Engineering team

●Create visualizations and dashboards to help tell stories with data

●Define and implement customized and/or cutting-edge solutions for customers

What You'll Need:

●BS/MS in Mathematics, Computer Science or an Engineering discipline from a top university. Alternatively, a PhD focused on quantitative research and discovering insights from data is acceptable in lieu of a BS/MS plus experience.

●3-5 years of experience in data science and/or statistics using a coding language (Python strongly preferred)

●2 years of experience in SQL and relational databases (BigQuery or PostgreSQL preferred), and good understanding of relational concepts

●Strong understanding of techniques in data science (machine learning algorithms, regression analysis, etc.)

●Strong data analysis skills, knowing what can/cannot be possible, and ability to visualize data in the best way possible

●Good communication skills - written, visual (presentations), and verbal

●Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms

●Quick learner, and a strong team player

Preferred:

●Geo-spatial skills are a plus.

●Knowledge of transportation data / industry is a plus.

Jacobs’ health and welfare benefits are designed to invest in you and in the things you care about. Your health. Your well-being. Your security. Your future. Eligible employees and their dependents may elect medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, and, if eligible, a deferred compensation plan and Executive Deferral Plan. Employees will also receive 17 days of vacation per year, seven paid holidays, plus floating holidays and caregiver leave. Hired applicants will be able to purchase company stock and have the opportunity to receive a performance discretionary bonus.

The base salary range for this position is $130-155k USD. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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StreetLight Data is an equal opportunity/affirmative action employer. StreetLight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.