Economist Manager, Research Lead

20 hours ago

Mountain View, California, United States Haus Analytics Inc. Full time
About Haus Analytics Inc.

Haus Analytics Inc. is a pioneering decision science platform that empowers businesses to make data-driven decisions in a world where data sharing and personal identifiable information (PII) are restricted.

Our platform leverages frontier causal inference-based econometric models to run experiments and provide actionable insights to brands, helping them understand the impact of their marketing, pricing, and promotions on their bottom line.

Our team is comprised of experienced professionals from top companies like Google, Netflix, Amazon, and Meta, who recognized the need for high-quality decision science tooling and incrementality testing.

Our mission is to democratize access to this technology, making it available to all businesses, and taking care of the heavy lifting of experiment design, data cleaning, and analysis/insights.

Haus Analytics Inc. is working with well-known brands like FanDuel, Sonos, and Hims & Hers, and has seen a significant return on investment (ROI) by running experiments and helping brands make more profitable decisions.

We are backed by top venture capital firms like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.

Job Description

You will work closely 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 non-technical 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
  1. Drive research and development of new econometric models and methodologies to address business challenges and enhance our product offerings.
  2. 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.
  3. Lead and mentor a team of data scientists, managing their day-to-day tasks, performance, and professional development.
  4. 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 non-technical 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)

$180,000 - $220,000 a year

The salary range for this position is expected to be $180,000 - $220,000.

Please note that the compensation details listed in this job posting reflect the base salary only, and do not include equity or benefits.

Haus Analytics Inc. 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.

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