Research Scientist

Our Mission

Quantifying and communicating every American's climate risk.

The Problem

The problem with climate risk today is that there is no accurate way for any individual or company to understand how climate change will impact them personally. We are solving this problem. In the last twelve months since we launched our revolutionary first risk product (FloodFactor.com), we have seen over 2 billion media impressions and our APIs deliver 50 million data requests daily.

The Opportunity

You are a detail-oriented person who is passionate about the challenges posed by our changing environment and want to join our team of research, data science, and communication professionals dedicated to identifying the growing risks of an uncertain world.

This position will work with the Research and Development Team, within the larger Data Team, to leverage statistical, geospatial, and data science focused methodologies in the production of current and future climate hazards at a national scale (including, but not limited to heat, drought, wind, convective storms, and landslide/mudslide). This role will also collaborate in the communication of the organization's model results and implications in the form of white papers, reports, and peer-reviewed scientific articles and in support of the First Street mission and communication needs.

The Role

Responsible For:

• Utilizing analytic techniques to quantify and exploit spatio-temporal relationships in the generation of new data and methods for modeling climate-adjusted hazards.
• Contributing to the creation of content in a scientific tone that is accessible to both expert and non-expert readers, including, but not limited to, the documentation of data and methods used in the creation of climate adjusted hazards.
• Analyzing property level climate risk at scale through the creation of automated scripts built using R, Python, and SQL, Postgres, PostGIS, and others.

Experience/Competencies:

• Demonstrated expertise in statistical programming, data processing, and data analytics in the areas of environment or climate.
• Experience working with climate models and physical hazards.
• Experience applying statistical modeling in the development of research papers/reports.
• Strong understanding of probability and statistics in spatial processes.
• Expertise using scripted languages (R and/or Python) to efficiently and reproducibly create outputs.
• Preferred 3-5 years of working with climate/environmental data.
• Preferred expertise with database querying and aggregation, particularly with SQL.
• Preferred experience with big data analysis and parallel processing workflows.
• Capability of executing with a high degree of concern for reproducibility.

Compensation & Benefits

• Competitive salary commensurate with experience
• Medical, dental and vision plans
• Generous paid time off, holidays and sick leave
• 12 weeks of fully paid parental leave
• Tech startup environment and a new office space filled with cold brew and snacks
• Working on the world's biggest issue with other passionate professionals

Our Values

· Fun: Our profession is our passion

· Inclusive: Everyone has a voice

· Impact: We only do things that move the needle

· Trust: We rely on each other and the world can rely on us

· Integrity: We always consider the impact of our actions

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.