Sr. Data Scientist / Machine Learning Engineer
About Whisker Labs
We’re on a mission to save lives and property, leading the next wave in smart home technology and fire prevention with Ting. This intelligent sensor and concierge service monitors a home’s electrical network to detect electrical hazards that often lead to the most devastating and catastrophic fires. While on the job preventing fires inside a home, Ting also helps monitor the electrical grid, contributing to increased community fire safety and reduced environmental impact that comes with fire reduction. We’re steadfastly addressing the long underserved realm of electrical fire prevention with leading-edge technology and embarking on the next stage of our growth. Visit tingfire.com for more information.
About the Role
Whisker Labs is seeking a data scientist to join our team extracting insights from electrical networks. This team is 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 role will primarily focus on the design, development, and deployment of algorithms analyzing high-speed real-time electrical sensor data.
Job Duties
- Design and implement scalable, data-driven solutions to extract insights from high-frequency sensor data
- Contribute to the creation of internal tools for building data sets as well as training and validating models
- Provide inputs for developing user-facing visualizations for results and for monitoring overall system performance
- Participate in software design, production-readiness, and code reviews
Qualifications
- A degree in Mathematics, Science, or an Engineering Field
- 6+ years of combined education and experience analyzing and presenting insights drawn from large data sets
- Experience with a *nix-based development workflow (e.g., git, SSH, Make, shell scripting)
- Fluency in Python required
- Experience performing data analysis of large datasets, using analytics tools (e.g., NumPy, pandas, SQL, Spark), and preparing visualizations to explore technical and scientific questions
- Experience with cloud ecosystems (e.g., AWS, Google Cloud) preferred
- Experience with signal processing and real-time processing of high-velocity time series data a plus
Preferred Qualifications
- PhD in Data Science, Machine Learning, Electrical Engineering
- Experience and understanding of electrical and utility infrastructure
What We Offer
- Competitive salary + equity
- Freedom ability to make, own and carry out decisions
- Health, dental, and vision insurance
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. Whisker Labs maintains a drug-free workplace and performs post-employment/ pre-employment drug testing and various background checks. Please note that, depending on the specific position applied for, you may be required to pass additional job-related medical tests, background checks, and/or other requirements.
