Preparation should focus on demonstrating how your analytical toolkit translates into business value. Remitly interviewers look for candidates who can bridge the gap between complex modeling and clear, actionable storytelling.

Role-related knowledge – You must demonstrate proficiency in SQL and Python/R. Expect to be tested on your ability to not only write clean code but to apply statistical concepts like probability theory and forecasting to actual business challenges.

Problem-solving ability – You will be evaluated on your ability to break down high-level business goals into analytical frameworks. Focus on showing your "thought process" rather than jumping straight to a solution; clearly define your hypotheses and the data needed to test them.

Communication & Stakeholder Management – Because you will work with diverse teams, your ability to explain technical findings to non-technical partners is critical. Practice distilling complex insights into concise, clear, and persuasive recommendations.

The Remitly interview process is designed to be thorough yet conversational. You can typically expect a series of 4+ conversations, often beginning with a recruiter screen followed by a deep dive with the Hiring Manager. The process is highly collaborative, and you will likely interact with members of the team you would eventually join.

The rigor increases as you move through the process, moving from initial technical screens to more complex case studies and behavioral assessments. The company places a high value on "culture add," so expect your interviewers to focus as much on your problem-solving approach as on your technical output.

The visual timeline above illustrates the standard progression from initial engagement to the final round. Candidates should use this as a guide to manage their preparation energy, ensuring they are well-rested for the final-round case studies, which are often the most demanding portion of the process.

Analytical Frameworks

Success requires a structured approach to solving open-ended business problems. You will be evaluated on your ability to identify the right metrics, formulate a hypothesis, and design a robust testing plan.

Be ready to go over:

• Hypothesis generation – Developing clear, testable statements.
• Experimental design – Identifying control/treatment groups and potential biases.
• Metric selection – Balancing short-term revenue goals with long-term customer value.

Example scenarios:

• "Design an A/B test for a new pricing tier."
• "How would you measure the second-order impact of a price increase?"

Technical Proficiency

You will be tested on your ability to manipulate data and build models that are both accurate and scalable.

Be ready to go over:

• SQL proficiency – Writing complex queries to join disparate data sources.
• Python/R libraries – Using standard tools for data manipulation and visualization.
• Statistical rigor – Applying probability theory to predict outcomes.

Example scenarios:

• "Write a query to calculate the cohort retention rate over 6 months."
• "What are the limitations of a linear regression model in this specific context?"

As a Data Scientist at Remitly, you will serve as a critical bridge between data and decision-making. Your day-to-day will involve deep-diving into customer behavior, specifically within the SMB business line, to understand the impact of pricing strategies. You will move beyond ad-hoc reporting to build sophisticated financial and predictive models that inform senior leadership.

Collaboration is central to this role. You will work alongside product managers and engineers to define the data requirements for new features and implement pricing experiments. You are expected to be a "builder"—someone who proactively seeks out business problems, develops a clear analytical framework, and communicates findings with such clarity that the path forward becomes obvious to the entire team.

To be a competitive candidate for this Data Scientist position, you need to balance technical depth with a strong business-first mindset.

• Must-have skills: 5+ years of professional experience, Intermediate SQL proficiency, working knowledge of Python or R, and deep expertise in statistical concepts such as A/B testing and forecasting.
• Nice-to-have skills: Experience specifically in pricing strategy or financial services, and advanced data storytelling capabilities that include high-impact visualizations.
• Soft skills: Strong business writing, the ability to distill complex problems into actionable recommendations, and a collaborative spirit that thrives in an in-office, Connected Work Culture.

Q: How long is the typical interview process? A: Candidates typically move through the process over several weeks, involving four or more rounds of interviews.

Q: What is the most important factor for success at Remitly? A: Beyond technical skills, the ability to communicate how your analysis drives specific business outcomes is the key differentiator.

Q: Will I be asked to write code during the interview? A: Yes, expect technical assessments involving SQL and Python/R to gauge your hands-on analytical capabilities.

Q: How should I prepare for the culture fit portion? A: Research Remitly’s mission of providing "peace of mind" and be ready to share examples of how you have acted as a "global thinker" in past roles.

• Prioritize clarity: In your explanations, always start with the "why" before diving into the "how."
• Know your data: Be prepared to discuss the limitations and assumptions of any model or analysis you mention in your resume.
• Embrace the hybrid culture: Show enthusiasm for in-person collaboration; it is a core part of how Remitly drives innovation.
• Structure your answers: Use the STAR (Situation, Task, Action, Result) method for behavioral questions to keep your responses concise and impactful.

The Data Scientist role at Remitly is an exceptional opportunity to influence the financial well-being of a global customer base. By focusing on your ability to blend technical rigor with clear business strategy, you will be well-positioned to succeed. Remember that your interviewers are looking for a partner who can navigate complexity and drive meaningful change through data.

The compensation data provided above reflects the typical range for this position. Use this information to understand the competitive landscape and ensure your expectations align with the total compensation package, including equity and benefits, which are key components of the Remitly offer. Prepare thoroughly, stay confident, and good luck with your application process.