Scientifique en données climatiques / Climate Data Scientist

Communications /
/ Remote
We’re looking for a data-savvy individual to join our Deep Sky Data team as a Climate Data Scientist. This role is a stellar opportunity to use data science, climate science and econometrics to help position Deep Sky (and you!) as thought leaders in the industry.

In this role, you will be responsible for leading the proactive production of climate industry research by sourcing, analyzing and eloquently communicating data that illustrates the urgent threat that climate change presents. Sourcing publicly available datasets and identifying the right data sources for purchase, you will answer critical questions facing the climate industry and support the scaling of Deep Sky’s Research & Data Center. Are you someone who gets excited about translating oceanography into economic and social risks? Determining how impending droughts across the world will affect food and water supply? Building predictive modeling that identifies economic and climate impacts of a full Atlantic Meridional Overturning Current (AMOC) collapse? You’ll work alongside our communications team as they proactively pitch your research/data to journalists as well as share your insights on social media to inform customers and industry partners.

You’re a great fit for our team if you are excited about exploring huge (and sometimes messy) data sets and finding effective ways to simplify and communicate the results to a non-technical audience. You’re skilled at building models that illustrate bold climate predictions and implications. In addition to sourcing, analyzing data and writing reports about your findings, our communications team will help prepare you to serve as a company spokesperson. Individuals on our Research & Data Team will be frequently interviewed about their findings by top news outlets such as The New York Times, Wall Street Journal, NBC Nightly News, and Good Morning America.

In this role you will:

    • Generate brand affinity and organic growth by developing proactive research and collaboration with the largest media outlets such as CNN, NBC, ABC, Fox News, Globe & Mail, Radio Canada, and more.
    • Source and build Deep Sky’s database of data points by applying an econometric and statistical toolkit to provide impactful insight into climate risks and predictions.
    • Identify and develop new data sources (internal and external) and incorporate them into analyses to improve our industry forecasts and expand the scope of our research.
    • Design and implement ad hoc and automated analysis scripts, develop and deliver data visualizations and interactive tools to present your results.
    • Transform complex analyses into short, compelling, and easy to understand studies to share with journalists aimed at a consumer audience. Example here.
    • Collaborate with key stakeholders across Deep Sky in a fast-paced, collaborative environment.

An ideal candidate has:

    • At least 5 years of professional working experience.
    • A degree in Climate Science, Computer Science, Economics, Data Science, Math, Statistics or other quantitative discipline. Experience in oceanography and meteorology is a bonus. Advanced degree (e.g., Ph.D) highly preferred.
    • A high level of comfort working in a fast-paced environment, often pulling together time-sensitive data reports based on timely world events in a short amount of time.
    • The ability to distill complex subjects and data into compelling and understandable write-ups.
    • Geographic information systems (GIS) software skills and data visualization software experience is a bonus.
    • Strong quantitative data analysis and creative problem-solving skills.
    • Exposure to scripting with Python/R or other data preparation and analysis tools. Experience with Pandas/sklearn in particular is helpful.
    • Experience querying relational databases using SQL. Knowledge of how to speed up queries for large datasets is helpful.
    • Experience using data visualization libraries and software to creatively tell data stories.
    • Strong written and verbal communication and collaboration skills.