Economist Manager, Research Lead

Posted 6 Hours Ago
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Hiring Remotely in Mountain View, CA
Remote
180K-220K Annually
5-7 Years Experience
Software
The Role
As an Economist Manager, Research Lead, you will lead a team focused on econometric research and model development. You will drive research initiatives, implement new methodologies, and mentor your team, ensuring alignment with business needs and effective translation of complex models into actionable insights.
Summary Generated by Built In

About Haus

Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.


What You'll Do

You will work with the Head of Science and lead a team of economists and applied scientists focused on advancing econometric research and developing innovative science products that directly contribute to our platform's growth. You will be responsible for driving research initiatives, implementing cutting-edge methodologies, and overseeing the development of new models and approaches. As a manager, you will mentor and guide individual contributors, ensuring their growth and alignment with organizational goals.


You will help shape the future of our platform by advancing the robustness, accuracy, and scalability of econometric models. You will also serve as a key thought leader, ensuring that new science projects align with both business needs and the latest academic research. Your ability to translate complex econometric models into actionable insights for both technical and nontechnical stakeholders will be crucial.


If you are passionate about research, eager to lead a talented team, and excited to innovate in a rapidly evolving space, this role is for you.


Responsibilities

  • Drive research and development of new econometric models and methodologies to address business challenges and enhance our product offerings.
  • Act as a key advisor to stakeholders, translating complex research and model results into clear, actionable recommendations while also synthesizing their feedback into feasible science development initiatives.
  • Lead and mentor a team of data scientists, managing their day-to-day tasks, performance, and professional development.
  • Work closely with cross-functional teams (Product, Engineering, Customer Success) to ensure that research and model development align with business objectives and are successfully integrated into the platform.

Qualifications

  • PhD in Economics, Statistics, Quantitative Marketing, or a related field.
  • Proven experience in econometric research and statistical model development for production use cases.
  • Demonstrated ability to manage and mentor individual contributors, fostering both technical growth and leadership skills.
  • Strong written and verbal communication skills, with the ability to present complex research findings to both technical and nontechnical audiences.
  • Ability to collaborate effectively with cross-functional teams, driving alignment between research projects and business needs.
  • Experience working with Python and SQL.

About you

  • 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.
  • Done is better than perfect - you take small exploratory steps rather than large precise leaps toward solutions.
  • Experiment - you try new ideas rather than repeat known formulas.

What we offer

  • Competitive salary and early startup equity
  • Top of the line health, dental, and vision insurance
  • 401k plan
  • Tools and resources you need to be productive (new laptop, equipment, you name it)

Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Top Skills

Python
The Company
HQ: Mountain View, CA
65 Employees
On-site Workplace
Year Founded: 2021

What We Do

Haus is a decision science platform built on your own data. Our products combine state-of-the-art causal inference and econometrics to help brands make informed investment decisions.

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