Sightline Climate accelerates the deployment of climate tech solutions by providing clients with industry leading insights, data, analytics, and research on both technologies and markets. Sightline’s subscription intelligence platform gives investors, corporates, and governments the insights they need to anticipate developments and to confidently build and finance the new climate economy. Sightline Climate also produces CTVC, the industry-leading newsletter read by 60,000 climate leaders.

We are looking for a Data Scientist to join our engineering team. As a Data Scientist, you will design, develop and implement software solutions across our machine learning and data stack, and play a crucial role in delivering insights into the new climate economy to investors, corporates, and governments mobilizing strategies in the climate transition. Our ideal candidate has a strong technical background and a willingness to “wear many hats”, learn new skills, and take the initiative to develop new features as needs arise.

The Role

• Collection — Use web scraping and other collection techniques to increase the speed, efficiency, and breadth of data collection.
• Processing — Use AI, natural language processing, and machine learning to extract, classify, and transform data.
• Infrastructure — Assist in developing and maintaining the Sightline central database. This will include improving data input processes, maintaining our ELT pipeline, and expanding the functionality of our database to streamline data entry and ingestion.
• Analysis — Analyze the performance of the machine learning and data stack to identify opportunities to improve coverage and accuracy.
  
  

The Essentials

• 2+ years experience as a Data Scientist, Data Engineer, Software Engineer, Software Developer or equivalent
• Experience in Python and PostgreSQL
• A passion for addressing the climate crisis through high quality research and data
• Interest in working for a fast-moving startup with a small, international team
• A BSc degree in Computer Science, Engineering or other relevant field
  
  

A Plus

• Experience in machine learning / natural language processing / prompt engineering
• Strong analytic skills related to working with unstructured datasets
• A successful history of manipulating, processing and extracting value from datasets
• Proven history developing production-grade software
• Experience using Django and/or DBT
• Experience with AWS (ECS, RDS, CloudFormation)
• Experience working with Jira / Agile framework
• Experience using Bitbucket Pipelines
• Working understanding of climate tech sectors
  
  

Our Offer

• Opportunity to work and learn at a fast-growing climate tech startup
• Based in New York or Washington D.C.
• Salary range $90,000–$140,000 annual base
• Generous stock options
• Flexible working hours
• 20 days PTO + federal holidays
• Health coverage