Senior Quantitative Product Researcher

As a Senior Quantitative Product Researcher at EarnIn, you'll drive and lead a quantitative research agenda, focusing on enhancing product development. Key responsibilities include conducting empirical research, analyzing data to understand user behavior, and collaborating with product management and engineering to apply these insights effectively. You will have autonomy in scoping new analysis that informs product strategies, helping shape the financial solutions we offer to our community.

To qualify for the Senior Quantitative Product Researcher role at EarnIn, you should possess a Master’s or PhD in Statistics, Human-Computer Interaction, Economics, Psychology, Computer Science, or a related field. Additionally, having at least three years of product research experience, strong programming skills in languages like Python or R, and a solid understanding of research methodologies will enhance your application.

The work environment for a Senior Quantitative Product Researcher at EarnIn is fully remote, providing you the flexibility to work from anywhere in Mexico. You’ll be part of a dynamic, innovative team that values collaboration and diverse perspectives as we work together to redefine financial accessibility. Our culture promotes continuous learning and excellence in delivering impactful financial solutions.

At EarnIn, we understand that a diverse team brings better insights and richer solutions. We celebrate diversity in backgrounds, experiences, and perspectives, striving to create a culture of belonging. Our hiring practices aim to embrace candidates from various walks of life, ensuring a workplace that thrives on inclusivity and supports all team members in their growth.

As a Senior Quantitative Product Researcher at EarnIn, you will utilize an array of tools to conduct your research, including statistical programming languages such as Python and R, SQL for data manipulation, and survey design tools like Qualtrics. You will explore methods from statistics, econometrics, and behavioral science to produce actionable insights that enhance user experience across our products.

When answering this question, highlight specific quantitative research methods you've used, such as regression analysis or A/B testing. Discuss a project where your research led to significant findings or changes in product strategy, emphasizing your analytical skills and how they contributed to meeting user needs.

Demonstrate your understanding of research validity by discussing your methodological framework. Explain how you design studies, select appropriate metrics, and interpret data. Mention implementing checklists for ensuring quality and consistency in your research work.

Share strategies you employ to manage your time effectively, such as setting clear deadlines, breaking larger projects into manageable tasks, and regularly communicating with stakeholders to adjust priorities based on business needs. Emphasize your adaptability to keep projects moving forward.

Address this question by recounting a challenging project, discussing the obstacles you encountered—such as data quality issues or unexpected results—and explaining how you adapted your methods or collaborated with your team to find solutions. Highlighting your resilience and problem-solving skills will resonate well.

Discuss your collaborative processes, emphasizing how you engage with cross-functional teams. Highlight specific examples where you've communicated research findings, facilitated brainstorming sessions, and followed up with clear, actionable recommendations that informed product design or strategy.

In your response, mention specific software tools you’ve utilized, such as R, Python, or SQL, and elaborate on how you've applied them in your research. Providing examples of projects where you've employed these tools effectively will demonstrate your capability.

Provide an overview of your experience in designing surveys, including methods for ensuring reliability and validity. Discuss how you analyze survey results and use these insights to inform product development, illustrating your ability to draw meaningful conclusions from data.

Illustrate your commitment to continuous learning by mentioning sources you follow, such as academic journals, industry publications, or webinars. Discuss how integrating new knowledge into your work has helped you bring innovative insights to past projects.

Share a specific instance where your research significantly influenced a product decision, explaining the context, your findings, and how those findings were communicated to the team. This will showcase your ability to drive strategic thinking through data.

Explain the complementary nature of qualitative insights in bolstering quantitative research. Discuss how qualitative findings can provide context for quantitative data, giving deeper clarity on user behaviors and needs that helps shape product strategy.