Hybrid Data Scientist at Whisker Labs

Data Scientist

Duties: Responsible for advancing Whisker Lab’s technology to detect early warning signs of electrical fires in homes, preventing one of the deadliest types of fires. The team’s primary focus is on developing algorithms, automation, and internal web-based tools to detect electrical fire hazards and enable our fire safety team to mitigate them efficiently. Lead developer for data science backend infrastructure. Support for internal websites which convey data and data science outputs to our operations teams and facilitate the management of the fire hazard remediation process. Improve the efficiency of existing data science infrastructure (code and cloud usage). Participate in software design, production readiness, and code reviews.

Requirements: Master’s Degree in Computer Science, Computer Engineering, or other engineering discipline combined with significant coursework or experience in software development with 2 years’ post-baccalaureate experience in Python software development; training and running machine learning algorithms; building webpages and designing a functional UI/UX using Python web development frameworks; developing front ends (e.g., using HTML/CSS/JS and frameworks like Flask + Jinja).

Whisker Labs is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.