At QuantAQ, we envision a world in which actionable air quality information is available and accessible. To build that future, we must bring every skill set to the table, working collaboratively across disciplines and fields. If this excites you, read on!
As a company, we value the role fundamental scientific and engineering research play in developing new technologies while acknowledging that what we do must scale.
At QuantAQ, we design and manufacture professional-grade air quality sensors for a variety of customer types (including research, government, and the private sector) to enable informed decision-making. We provide our customers with everything they need to build and manage distributed air quality sensor networks at scale, including our proprietary air quality sensors (developed through years of R+D at MIT) and our integrated software platform. We care deeply about using innovative technologies and socio-technological approaches to help businesses, governments, and community stakeholders obtain actionable air quality information.
If you're looking for an opportunity that allows you to highlight your skills and solve one of society's most pressing environmental challenges, we would love to hear from you.
About the Role
We are looking for a full-time Senior Data Scientist to join QuantAQ. We're a small team with a rapidly expanding product-market fit, so as an individual contributor, you will quickly gain end-to-end ownership over multiple areas of the business. If that excites you, let's talk!
The ideal candidate is an experienced atmospheric data scientist who is excited about the opportunity to apply their data science, machine learning, and atmospheric science skills to improve our category-leading air quality sensors. At QuantAQ, we gather a lot of air quality data and need to improve our tooling and operations for synthesizing this incoming data to make it as useful as possible to act upon. Over the past decade, we have published some of the most highly-cited and widely-used ML methods for air quality sensors and sensor networks on topics ranging from models for improving individual sensor measurements (supervised regression models) to classifying types and sources of pollution (unsupervised classification methods). You will help develop and improve novel approaches to measuring and locating sources of air pollution and help push those models from ideation to production for our global fleet of air quality sensors. If this sounds appealing, we would love to hear from you.
This position is based in Somerville, MA, at our HQ within Greentown Labs.
Responsibilities
In this position, you will work directly with and report to the CEO, who is currently responsible for overseeing all data science efforts. Responsibilities of this position include :
Qualifications
Candidates need not meet all requirements below, but the more that you meet, the better match you may be for existing work. Learning new tools on the fly is expected and hopefully part of the fun.
Compensation and Benefits
Compensation for this position is competitive for Seed-stage companies in the Boston area. Benefits at QuantAQ include :
3 weeks PTO + 10 observed Federal holidays
Location
QuantAQ is based out of Greentown Labs in Somerville, MA. Greentown Labs is the largest climate tech incubator in North America and includes a community of mission-driven entrepreneurs. Greentown offers numerous networking opportunities and events that cover a variety of topics. We love working out of Greentown Labs!
How to Apply
Does this role seem like a good fit? Are you interested in learning more? Email us at join@quant-aq.com for more information. Otherwise, please apply using the provided form.
QuantAQ values diversity of thought, access, and experiences and is an Equal Opportunity Employer → individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.
Senior Data Scientist • Somerville, MA, United States