Staff AI/ML Data Scientist

One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to increase the global community's resilience to natural hazards. Founded at Stanford University, One Concern enables cities, corporations and citizens to embrace a disaster-free future, through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world.
One Concern is seeking a Staff Data Scientist, AI/ML to join our team at One Concern. This role will work on developing innovative machine learning models for a variety of applications in flood and resilience modeling. You should have experience with collecting and cleaning data, feature engineering, building scalable machine learning algorithms and constantly improving them over time. You should be a visionary, executor and an excellent communicator.
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. If you are a problem solver, think out-of-the-box, love challenging yourself, and want to work for a cause, we would love to have you at One Concern.
We are committed to a workplace that reflects the community we serve. We especially encourage women, people of color, and others who are underrepresented in the tech industry to apply.

Responsibilities

• 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.

Requirements

• 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 analyticsAt least 5 years of applying machine learning for solving real-world problems in industry
• Past delivery of large-scale ML solutions for complex business problemsAdvanced 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 have

• 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