Software Developer and Data Scientist
Los Angeles, Oakland
About Rappel, Inc.
Medium and small businesses (SMBs) account for 99% of all companies, 60% of all employment, and by some measures well over 50% of GHG emissions (OECD, 2018). While many SMBs want to take climate action, they struggle with gaps in capabilities, resources, and funds.
Rappel is solving this challenge. We are a quickly growing company that makes it simple and affordable for companies to save money, win new customers, grow enterprise value, and reduce carbon. We are combining scalable software models with a proprietary delivery approach to help SMBs build a carbon reduction plan, prioritize the right decarbonization levers, and sustain progress. In doing so, Rappel is enlisting thousands of medium and small enterprises to join the fight against climate change.
The Software Developer and Data Scientist’s role is to build the database and software infrastructure for Rappel’s carbon reduction models and products. This person will structure and build Rappel’s database architecture, code the logic for scenario modeling and AI learning, and translate the outcomes into useable applications for our decarbonization solutions teams and customers. The Full Stack Developer and Data Scientist will also be responsible for structuring and managing their workstreams and deliverables, as well as for coordinating with external development resources.
Design and build databases in SQL
Use Python to develop prioritization and logic model architecture
Manage and collaborate with external engineering partners
Use APIs to integrate data sources into SW stack
Work closely with business team and decarbonization solutions team to refine front-end and back-end product design, development, and deployment
Manage technical engineering timeline and milestones
Python and SQL full stack engineer: 3-5 years of relevant experience in Python and SQL software development
Data scientist specialization and database engineering experience: strong in database structuring and math for creating analytics solutions
Undergraduate degree in data science, computer engineering, computer science, or similar
Prior roles or familiarity with energy or carbon systems analytics
Location: Los Angeles or Bay Area, hybrid-remote team
Compensation and benefits:
Competitive salary commensurate with experience
Employee stock option grant at early-stage, fast-growing startup
Company-supported healthcare, dental, and vision