Smarking (YC W15) Is Hiring a Senior Data Engineer in SF
We are a team of MIT grads and Y Combinator alum. We are building a pillar platform that aggregates the business's data in the parking industry to eventually solve the notorious parking searching problem.
We really, really want you to have the following: - Degrees in Computer Science, Computer Engineering, or equivalent work experience - Skills to efficiently parse, manipulate, and analyze data from multiple sources and formats - Familiarity with databases and Linux environments - Proficiency in Python
Responsibilities: - Data acquisition: collaborate with customers to extract, transform, and load source data for modeling and visualization. - Predictive analytics: data mining and modeling to reveal business insights, facilitate dynamic pricing, and solve many challenging problems! - Product development: lead feature development cycles including design, implementation, review sessions, testing, and so on.
The following are great bonuses if you have them: - Experience with Python analytics libraries and shell scripting - Experience in machine learning, statistics, and optimization - Developing and managing cloud services (Amazon AWS, Google GCP, etc)
If you would like to know more about our vision and team, please email us at <careers@smarking.net> with your resume attached. We look forward to talking to you soon!
PRODUCT Smarking - By combining big data, analytics, and transportation logistics, the Smarking team is helping property owners, municipalities, airports and parking management companies access predictive analytics and real-time tracking to optimize revenue and staffing, saving millions of dollars every year. SaaS Big Data Predictive Analytics Parking
WHY US? If you're a disruptor looking to solve a challenging issue that affects so many we're the right team for you! After finishing Y-Combinator (YC W15) and spinning out of MIT in 2013, Smarking Inc. is a fast growing tech startup based in Cambridge area. Upon extensive collaborations with well respected clients including top tier commercial real estate investment trusts, famous airports and municipal governments, and leading parking management companies, Smarking splashes a mix of state-of-the-art data processing, machine learning, predictive analytics, and visualization technologies onto large scale data to reduce the "entropy generation" in the car parking process.
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