Applied Scientist - Future Products
Mountain View, CA
Haus
Measure incrementality and allocate budget efficiently with Haus - your marketing science & experimentation platform to maximize growth.What you'll doYou will work on research and development with our Future Products team, building the next generation of causal marketing measurement tools. You will be an active contributor to the full product life cycle, collaborating with engineers, product managers, and designers from inception to delivery to produce high-quality experiences for our customers.
The ideal candidate will be a hands-on economist/applied scientist, excited to both develop new methodologies and directly implement and deploy them via scalable software solutions. You're an executor and are able to use strong judgment and clear, succinct communication to drive the right decisions to deliver on an ambitious roadmap.
If you are a builder who loves the idea of redefining and pushing the boundaries of causal marketing measurement, then let's talk.
Responsibilities
- Partner with engineering teams to build and deploy causal models into production
- Leverage existing literature and develop new science in the causal marketing measurement space
- Help drive product roadmap by clearly advocating for rigorous scientific solutions to customer pain points
- Support customers using new products post-launch
Qualifications
- MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience
- 2+ years working in an Economist / Data Scientist / Applied Scientist role building science models for production environments
- Experience in causal inference and machine learning
- Experience in experimental design and analysis
- Experience in Python and SQL
- Experience coding and troubleshooting models built for deployment
Nice to have
- Experience in hierarchical / mixed effects models
- Experience working in a startup or high-growth environment
- Experience with growth marketing, marketing measurement, or advertising platforms (e.g., Google, Meta, TikTok)
About you
- Done is better than perfect - you take small exploratory steps rather than large precise leaps toward solutions.
- Act like an owner - you share responsibility with the team and do what you can to achieve success. You thrive in ambiguity and find ways to structure unstructured problems.
- Experiment - you try new ideas rather than repeat known formulas.
What we offer
- Remote friendly, hybrid compatible - we are hiring in our science hubs (Seattle, Bay Area, Silicon Slopes area of Utah), but we are remote friendly with optional weekly in-person days at a hub's local Wework
- Competitive salary and equity
- Unlimited PTO
- Top of the line health, dental, and vision insurance
- 401k plan
- Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Causal inference Economics Engineering Haystack Machine Learning PhD Privacy Python Research SQL Statistics Testing
Perks/benefits: 401(k) matching Career development Competitive pay Equity Gear Health care Insurance Startup environment Unlimited paid time off
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