Who are we?
Sidewalk Labs is an Alphabet company tackling the challenges of urban growth. We are currently designing a new kind of mixed-use, complete community on Toronto's waterfront in partnership with the tripartite agency Waterfront Toronto and the local community. This joint effort, called Sidewalk Toronto, will combine forward-thinking urban design and new digital technology to create a people-centered neighborhood that achieves precedent-setting levels of sustainability, affordability, mobility, and economic opportunity.
Over the past two years, we have built a unique team of urbanists and technologists who have developed a vision for what this neighborhood of the future will be and how it will function:
- A mobility system that is safer and more convenient than the private car at much lower cost;
- A new standard of sustainability creating buildings that proactively manage and reduce energy by over 20%;
- A close-knit community that uses data to improve city services;
- Housing and real estate that is more efficient and thus far more affordable;
- Open digital infrastructure that inspires innovation.
What is the role?
To significantly improve sustainability in cities, Sidewalk Labs is developing new technology that will drastically reduce greenhouse gas emissions compared to the status quo, enable smarter management of resources, and reduce the cost of future upgrades and maintenance. We plan for a 75%-85% reduction in greenhouse gas emissions compared to similar projects, aiming for Climate Positive.
To achieve our sustainability goals in Quayside, we plan to pilot and scale different kinds of innovation to tackle the thorniest problems in building environment performance. Achieving that high bar requires aggressive innovation around electricity and thermal systems.
We are looking for a data scientist to join our team in our New York City office. Your first project will be building models and programs that aid in reducing energy use in buildings and cutting greenhouse gas emissions through analysis of building management system (BMS) data and other similar systems.
It’s a bonus (but not a requirement) if you are familiar with building systems and IoT sensors, their data, and analysis of it (e.g., HVAC, occupancy, temperature, lighting, etc.).
What is required is passion for sustainability and the desire to create a climate positive community.
What you have you achieve:
Within your first 6 months, you will:
- Model energy use and reductions, including creating regression-based energy baselines.
- Build and refine recommendation engines and predictive models (e.g. time to reach set point, monthly energy consumption).
- Create dashboards and interactive visualizations to share ongoing data.
- Design communication models catered to cohorts.
- Design and build data pipelines and processes for optimal and secure processing of complex data sets.
- Develop methods and naming schemas to unify (messy) data from building systems, sensors, APIs, and other sources, enabling a streamlined way to analyze data and prototype use cases.
- Build in security and privacy by design.
What we expect:
- Know your data science.
- Have a strong CS background in order to choose the right algorithms, systems approaches and patterns to solve problems, without reinventing the wheel.
- Candidates need to be able to hit the ground running. Therefore, for this role we are looking for 5+ years of industry experience in a world-class engineering organization.
- Experience with Python, SQL, or R. We also welcome a persuasive case for using R or Scala or another language as an alternative to Python.
- Have in depth experience across statistics and machine learning, including some of the following: deep learning, Bayesian networks, reinforcement learning, GANs, NLP, recommender systems, model validation and testing.
- Demonstrate excellent analytical and modeling abilities (linear models, multivariate analysis, stochastic models, sampling methods). We don’t need you to have used all of these methods; we are interested in hearing your reasoning for the methods you have used and why you chose them in comparison to the alternatives you considered.
- Act as a technologist.
- Bias towards action and shipping. Once you’ve sketched out an idea, you find the fastest path to a prototype to prove the concept.
- You are obsessed with privacy and constantly ask how we can build privacy into product design.
- Be comfortable with a range of languages and open source tools and frameworks, and make good decisions about which to use to solve a particular problem. You are excited to learn something new when the need arises.
- Be creative: you’ll come up with new ideas based on your broad understanding of technological possibilities and city domain knowledge.
- Solve problems, together.
- Come up with novel solutions, working well with technologists and non-technologists alike.
- Ask hard questions and challenge assumptions to ensure that we’re solving the right problems.
- Have flexibility to work on the team’s most pressing problems.
- Passionate about cities
- You have thought about the urban environment and care deeply about improving the lives of urban citizens
We are very excited to hear from you.
The community of the future is a place for everyone, and Sidewalk Labs is proud to be an equal opportunity employer. All employment is based on merit and business need.