Staff Data Scientist, AI/ML

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 Staff Data Scientist, AI/ML to join our team. You'll work on developing innovative machine learning models for a variety of applications in flood and resilience modeling. We work in a highly collaborative, challenging and exciting environment. Our data science and engineering challenges are unique, so you should be comfortable stepping in uncharted territory and excited to create systems that can scale to all disasters and geographies.

What You’ll Do

• Play a critical role in setting the direction and goals in terms of project impact, ML system design, and ML excellence
• Design, propose and develop custom machine learning and/or deep learning models to drive innovative products
• Identifying potential improvements using AI/ML for better solutions as the problem might not always be well defined. For example this can be proven being first author in research publications in reputable conferences or have led projects end to end.
• Keeping up with advances in the field and push for new advances in ML/DL only if there are significant and pragmatic benefits
• Code deliverables in tandem with the engineering team
• Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate.

Qualifications & Experience

• Have a track record of coming up with new ideas or improving existing approaches in machine learning.
• Possess the ability to own and pursue a research project, including impactful problems and individually carrying it out to completion
• Strong background of machine learning, deep learning, statistics and quantitative analytics
• At least 5 years of applying machine learning for solving real-world problems in industry
• Past delivery of large-scale ML solutions for complex business problems
• Advanced experience with Python (preferred)
• Proficiency in using one or more query languages such as SQL
• Advanced degree in Machine Learning or Artificial Intelligence, Computer Science, Statistics, Mathematics or related field

Nice to Haves

• Experience working on applying machine learning methods on geospatial data to solve real world problems is a big plus
• Experience with GCP and big data technologies such as hive, hadoop, spark etc.
• Domain knowledge in flooding, earthquake, damage prediction is a plus

Compensation will be competitive with 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.