Culture

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 and projections.
• 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:

• Bachelor’s degree in a quantitative field (engineering, applied math, physics) 
• Proficient in python (experience with pandas, numpy, sci-kit learn, and similar)
• Background in data analysis and machine learning (NNs and decision-tree based regression and classification).
• Critical thinking skills

Nice-to-have:

• Experience with Git, or other version control tools.
• Experience working in a cloud environment (i.e. GCP, AWS, etc).
• Linux knowledge.
• Experience working with large data sets.

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