Senior Staff Data Scientist

 About One ConcernOne Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience. 
The Role One Concern is growing rapidly and we are looking for a passionate, mission-driven Senior Staff Data Scientist to join and collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights.

What you will do

• Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters
• Identify key problems in prediction models and propose innovative solutions
• Demonstrate up-to-date modeling techniques and apply this to the development, execution, and improvement of action plans
• Formulate your own problems as the problem might not always be defined for you
• Assess the potential usefulness and validity of new ML/AI/statistical approaches and data sources.
• Verification, validation, and calibration of the in-house models as well as external models.

Must-haves

• 7+ years of industry experience
• Ph.D. or Master’s degree in engineering, statistics, machine learning or artificial intelligence, computer science, or related field
• Strong knowledge of probability theory and statistics, and quantitative risk assessment
• Domain knowledge of natural disasters such as earthquakes, floods, tropical cyclones, etc.
• Hands-on experience in developing probabilistic risk models
• Strong desire to learn new topics and skills and to develop innovative products 
• Experience in leading a project or managing a team of data scientists

Good to have

• Experience in catastrophe risk modeling
• Experience working on social issues and/or government projects a big plus
• Strong publication record

Compensation will be competitive with the market for this position and will include equity consideration. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.