Climate Data Scientist

Key Skills

AWS, Azure, Git, Google Cloud Platform (GCP), Linux Operating system, NumPy, Pandas, Scikit-learn, SQL

Job Description

At ClimateAi we are driven by a united passion to tackle climate change. We believe in a culture of absolute truth and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal-opportunity employer.

We hire people who are collaborative, adaptable, communicate well, and love to learn. Expect to give and receive constructive criticism, as we are constantly seeking to push the innovation frontier while simultaneously growing as individuals and as a team.

What you’ll do

• Develop and implement advanced methodologies based on state-of-the-art data science techniques and climate variability and change science to prepare custom/tailored deliveries to support customers on key decisions.
• Collaborate with our Data Engineering and Software Engineering teams to develop and implement strategies to improve the performance of our models.
• Collaborate with our Product and Engineering teams to improve the quality and usability of our products.
• Collaborate with our Customer Success teams to deliver high quality and timely reports to our customers.
• Generate regular climate deliveries for our customers.

Preferred Qualifications:

• Recent (1-3 yrs) PhD graduate in atmospheric sciences, climate, environmental sciences, hydrology, or any closely related topic.
• Excellent python programming skills.
• Strong background in general data science.
• Knowledge of frequently used data analysis techniques such as PCA, spectral analysis, covariance analysis, quantile mapping, among others.
• Experience with pandas, numpy, sci-kit learn, pytorch, and similar.
• Working knowledge of NNs, decision-tree based regression and classification.
• Experience working with global data sets such as ERA5, CMIP data, satellite precipitation retrievals, global NWP forecasts.
• Experience with Git, or other version control tools.
• Experience in applying climate and atmospheric sciences knowledge to business/industry problems.
• Customer-obsessed orientation: strong desire to ensure customer satisfaction and success.
• Most importantly, a passion for climate change solutions.

Nice-to-have:

• Experience working in a cloud environment (i.e. GCP, AWS, etc).
• Linux knowledge.
• SQL knowledge.
• Experience communicating with Data Engineers and Software Engineers in an agile environment.
• Ability to write production-level code, create documentation for existing code, and refactor the previously written code.
• Comfort working in a fast-paced environment.

What We Offer You

• Competitive salary and equity
• Medical, dental, vision benefits
• Learning budget per year
• Unlimited PTO policy with minimum time off requirements
• Flexible working hours on many teams
• Culture of diversity and inclusion including employee resource groups
• Work with smart, curious, passionate people and be part of the mission to help the world