Basics
140 K$ - 180 K$ yearly
Full time job
~ 5 years XP
Remote
about 16 hours ago
6 views
About Recast
Recast is building the world’s most rigorous incrementality platform. Here's how we're different:
1. We take accuracy (really) seriously.
From configuration, to stability checks, to parameter recovery exercises, to ongoing backtests – the Recast process holds every model to an incredibly high performance standard before and after delivery.
2. We don’t hide anything.
At Recast, we turn the black box into a glass box. We show uncertainty for all point estimates, send weekly model accuracy scorecards and publish all model docs openly. It helps our clients build trust in their models and hold us accountable as their vendor.
3. We’re obsessed with model quality.
More than 30% of the Recast team holds a PhD in math or statistics. Our research into upper & lower funnel channel interaction, time-varying ROIs, spike modeling, and more, continues to improve Recast's proprietary media mix model.
Download our free MMM E-Book: https://getrecast.com/ebook
Check out the MMM Academy: https://getrecast.com/mmm-academy/
1. We take accuracy (really) seriously.
From configuration, to stability checks, to parameter recovery exercises, to ongoing backtests – the Recast process holds every model to an incredibly high performance standard before and after delivery.
2. We don’t hide anything.
At Recast, we turn the black box into a glass box. We show uncertainty for all point estimates, send weekly model accuracy scorecards and publish all model docs openly. It helps our clients build trust in their models and hold us accountable as their vendor.
3. We’re obsessed with model quality.
More than 30% of the Recast team holds a PhD in math or statistics. Our research into upper & lower funnel channel interaction, time-varying ROIs, spike modeling, and more, continues to improve Recast's proprietary media mix model.
Download our free MMM E-Book: https://getrecast.com/ebook
Check out the MMM Academy: https://getrecast.com/mmm-academy/
The Role
We're hiring a Lead Full Stack Engineer to work with the Recast application engineering team for our marketing mix modeling platform.
What you might do in your first 6 months:
- Build, test, troubleshoot, and integrate front-end elements into our application using Ruby on Rails, modern javascript frameworks and vanilla js, and styling with CSS and frameworks like Tailwind
- Help us develop new features and functionality to allow our customers to better serve the information they need when they need it.
- Add self-serve reporting and data visualization features so that our clients can dig in and build their own reports
- Lots of interacting with your colleagues to overcome challenging and new problems to solve. We work very collaboratively and need colleagues who aren’t afraid to jump in and help in whatever way they can!
Things you have experience in:
- Full-Stack web-development experience with Ruby on Rails or other similar web frameworks (Django / Flask / MVC)
- Front-End experience with JS frameworks and libraries such as React, Vue, Svelte, etc.
- Styling for the web using either plain CSS or libraries like SASS, LESS, Tailwind, etc.
- You have decent design-sense and can take an app from idea to MVP quickly and independently
- Working with javascript plotting libraries like D3, cube.js, or plotly
- Experience working with other engineers on your team to teach them using different techniques - pairing, mobbing, reviews, etc.
- Working directly with a product team to ensure that the vision and the technical execution needs match up.
- Estimating both how difficult technical projects will be, and also how long they may take given different inputs.
- Working at a fast-paced SaaS startup
Things that should excite you that might scare off other folks:
- Working directly with data scientists to productionize their code
- Taking ideas that might start out vague to some, and helping to turn them into concrete implementations collaboratively with colleagues both inside and outside Engineering
- Working with lots of complex data structures and pushing-the-limits visualizations
- Teaching others on your team and learning just as much from them - we are all student-teachers
- Building tools that interface with JAX & other ML-like libraries
*Please note salary ranges are estimated for US-based employees. Candidates from other geographies may have the salary range adjusted based on their local markets.