Data Scientist

COMPANY DESCRIPTION

Riskthinking.ai helps business leaders and policy-makers understand risk under extreme uncertainty by providing them with forward-looking, algorithmically generated scenarios that are refined through structured expert judgment processes. We have a global client base, and an elite advisory and executive team, driving radical climate action through the disclosure of climate-related financial risks.

ROLE SUMMARY

You will work as part of the Climate Risk Team at Riskthinking.ai and will be instrumental in improving the quality and availability of the data used in our scenario products. This includes compiling, interpreting, evaluating, and presenting climate risk data in innovative ways, and contributing to the improvement and augmentation of the data using machine learning approaches. We are building high-quality tools and vibrant communities of experts to support decision-makers to develop plans and policies that account for and minimize the risks that they face due to climate change. We want you to help us make that vision a reality!

COMPETENCIES

• Excellent knowledge of Python and/or R
• High-level proficiency with visualization libraries
• Experience in Agile development processes and DevOps methodology/principals
• Strong data management skills

• Strong presentation and public speaking skills
• Strong cross-team communication and collaboration skills

Bonus: Experience with Docker, NVIDIA, MLOps, or Tensorflow is a plus

YOU

• Thrive in a cooperative, fast-paced, and dynamic environment

• Are a careful researcher who is able to translate technical climate science into plain language

• Have strong quantitative and qualitative and problem-solving skills

• Demonstrate excellent written and verbal communication skills

• Pride yourself on attention to detail

• Ability to work in a self-directed manner and within a team environment

• Willing to be flexible with job duties

• Collaborative, curious, trustworthy, and have a good sense of humour.

RECOMMENDED EXPERIENCE

We recognize there are many paths to success in climate research and data analytics, but we suspect the strongest candidates will have experience in at least one of the following categories:

• Through a graduate-level degree program in a science-based discipline such as Physics, Mathematics, Physical Geography, Earth Science, or Environmental Engineering.

• 2 Years experience in related position

ELIGIBILITY

• Due to the nature of this role and our maturity as a company, all applicants must have permanent work authorization prior to applying. We are not able to sponsor or transfer employment visas (e.g. H-1B).

• Must have the ability to work remotely

OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION

We evaluate all candidates on the basis of their ability to meet stated job requirements. We do not discriminate against candidates on the basis of sex, gender, marital status, religion, nationality, or other personal characteristics. In keeping with our commitment to supporting a safe and inclusive workplace, we strongly encourage candidates from traditionally underrepresented backgrounds to apply.