Aclima has pioneered an entirely new way to measure and analyze air pollution and greenhouse gases, block by block and around the world. The Aclima technology platform translates billions of scientific measurements from its network of stationary and roving sensors into environmental intelligence for governments, businesses, and communities. A Public Benefit Corporation, Aclima is dedicated to catalyzing bold action to protect public health, reduce climate-changing emissions, and advance environmental justice. The company holds a broad patent portfolio for networked, indoor, wearable, and mobile air quality sensing technologies. Aclima is headquartered in San Francisco with offices in Portland and New York City.
In the last year, Aclima was named one of Inc Magazine’s Best in Business, one of the 50 Most Innovative Companies in the World by Fast Company and #1 in Data Science, and a Fast Company World Changing Idea.
To learn more about Aclima, please visit aclima.io.
About the Data Science Team
The data science team at Aclima transforms high resolution spatiotemporal data from our urban outdoor sensor networks combined with other geospatial data into actionable information products. We design air quality models and predictive analytics, working with atmospheric scientists, hardware engineers, and backend engineers to optimize the sampling design of environmental space-time processes, and to deliver geospatial insights from our datasets.
We seek smart and motivated people who have a strong interest in environmental science and big data. You will work closely across the data science and backend platform teams to integrate and test complex modeling algorithms, as well as innovate new algorithms to advance product capabilities.
Our stack includes: Google Cloud Platform (BigQuery, PubSub, DataFlow, CloudSQL), Python, ElasticSearch, MapBox, Kubernetes, Docker, CircleCI, Git, Go
- Deploying new analytics models and algorithms into production
- Developing data analytics products using high resolution spatiotemporal data and other remote sensing datasets
- Developing integration and test pipeline for algorithm performance validation
- Collaborating with other scientists and engineering teams and interfacing frequently with product management
- Experience writing production code in Python
- Strong Python software development skills
- Experience with ETL pipeline development and maintenance
- Experience with time series analysis, geospatial processing and analysis, atmospheric modeling, or spatiotemporal processes
- Strong background in Machine Learning
- Experience deploying and maintaining Machine Learning models in production
- Experience with Google Cloud Platform
Equal Employment Opportunity
Aclima is committed to diversity in our organization and building an equitable and inclusive environment for people of all backgrounds and experiences, and has proudly made the Kapor Capital Founders’ Commitment. Aclima provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Aclima complies with applicable state and local laws governing nondiscrimination in employment in every location.
We especially encourage members of traditionally underrepresented communities to apply, including women, people of color, LGBTQ+ people, veterans, and people with disabilities. Full-time position only. The position can be remote or with our teams in Portland, San Francisco, or NYC.
Compensation and Benefits
Aside from the fulfillment of working alongside world-class colleagues to make a positive impact in people’s lives, while improving planetary and public health, Aclima offers competitive compensation, equity potential, and excellent benefits. Benefits include medical/dental/vision/Life/AD&D/LTD, 401K, commuter and wellness credits, company events, and an extraordinary culture.
To apply for this job email your details to DIANA.SOUZA@ACLIMA.IO