Sr. Data Scientist

First Street•New York, NY

2d•Hybrid

About The Position

We are looking for a Senior Data Scientist with experience working in Earth Science to join our Data Science/Data Engineering team. It's never been more important that finance professionals, homeowners and home buyers understand the monetary impact of climate hazards on their real estate and investments — and you will help make that possible. The successful candidate deeply cares about the environment, loves information technology, and appreciates the importance of data for the First Street mission. They will develop new peril models and enhance existing ones, lead data operations that span Climate Science, Data Science, and Data Engineering, and enable the broader team to succeed through your expertise and technical leadership. Have you built machine learning models to calculate the impact of climate change on snow cover in Scandinavia? Have you reformatted terabytes of GRIB model output into a more accessible Zarr store? Do you use AI coding assistants to help write image processing algorithms for extracting building characteristics from satellite imagery? We’d love to hear from you!

Requirements

Master's Degree + 4 years of experience, or Ph.D. + 2 years of experience (field: Data Science, Earth Science, or related)
Python — required
Linux & Bash — required
Git & source control — required
Cloud computing — required (AWS strongly preferred)
Geospatial data and formats: GeoTIFF, NetCDF, GRIB, HDF5, Zarr
Strong understanding of probability and statistics as applied to spatial data
Experience with big data analysis, parallel processing, and batch/spot workflows
Machine learning model development — ideally a model you built yourself, not just contributed to as part of a team

Nice To Haves

High-performance computing experience (SLURM is a plus)
Agentic AI applications, with an understanding of the practical benefits and limitations of AI agents
Experience mentoring junior scientists or engineers
Background in the physical sciences

Responsibilities

Lead acquisition, processing, and analysis of climate-related and geospatial data for First Street modelers and data partners.
Develop and maintain scalable data pipelines on local and cloud-based systems (AWS preferred).
Perform statistical analysis to validate hazard model predictions and assess model uncertainties.
Develop and enhance machine learning models supporting First Street's peril product suite.
Plan, execute, and direct Unix-based workflows using Python, Bash, GDAL, and related technologies.
Analyze raster and vector data at scale to improve model accuracy, identify quality control issues, and develop remedies.
Design and implement quality assurance checks on climate model data and derived statistics.
Contribute to the broader Data Science and Data Engineering team's success through technical leadership and mentorship.

Benefits

Competitive salary commensurate with experience
Ownership interest in the company via Employee Stock Option Plan
Hybrid Schedule with in-office work days on Monday, Wednesday and Thursday
15 vacation days along with 8 statutory company holidays, 5 days for winter break office closure, and 10 sick days
Healthcare monthly premium covered at 100% for employee or a significant contribution for family plans
Vision and dental benefits with partial employee contribution
12 weeks of paid parental leave
Access to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace
Company 401k program
Commuter benefits
Life Insurance
Tech startup environment
Weekly team meals and an office stocked with coffee and snacks
Working on the world’s biggest issue with other passionate professionals