Applied Scientist - Customer Growth

November 23

Apply Now

Description

• A home is the biggest investment most people make, and yet, it doesn’t come with a manual. • We are driven by a common goal and the deep satisfaction that comes from knowing our work supports local economies, helps small businesses grow, and brings homeowners peace of mind. • We’re creating a new era of home care. • We're looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistics. • Our challenges include building systems to optimize our marketing spend to bring more customers to the marketplace and engaging and retaining our customers. • Initiate and drive applied science initiatives to completion, with a focus on business impact.

Requirements

• Expert knowledge of machine learning techniques • Ability to effectively read, write, and debug code in programming languages such as Python • Good knowledge of probability and statistics, including experimental design, optimization, and causal inference • Experience with technical mentorship of other applied scientists • Demonstrated ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution • Ability to break down complex problems rigorously and understand the tradeoffs necessary to deliver impactful projects • Ability to communicate clearly and effectively to cross functional partners of various technical levels

Benefits

• Virtual-first working model coupled with in-person events • 20 company-wide holidays including a week-long end-of-year company shutdown • Library (optional use collaboration & connection hub) in San Francisco • WiFi reimbursements • Cell phone reimbursements (North America) • Employee Assistance Program for mental health and well-being

Apply Now

Similar Jobs

November 23

Join CollegeVine as an Applied Scientist to innovate machine learning solutions for education guidance.

November 18

Join our client as an AR/VR Research Scientist. Lead research in immersive technology and collaborate on innovative applications.

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or lior@remoterocketship.com