Data Science - Customer Success Intern (Summer 2026)
Dropbox
Data Science - Customer Success Intern (Summer 2026)
Job Description
Role Description
As a Dropbox intern, you are part of a top-notch learning experience with data scientists from all backgrounds. You’ll have a dedicated Dropboxer by your side, mentoring you every step of the way.
Our goal is to create a robust and impactful learning experience. You can expect to learn how to apply modern data science principles across our revenue, marketing and product teams. We're all about feedback, so anticipate continual guidance refining your approach. And while you're forging your path, we're here to ensure you bond with like-minded interns, discover mentors, and lay the bricks for an expansive professional network.
Responsibilities
- Develop a deep understanding of customer journey phases and key business metrics
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
- Work with cross-functional teams (including Data Science, value management, technical solutions, and customer success) to rapidly execute and iterate findings
Requirements
- An upcoming sophomore or junior graduating in '27 or later, majoring in fields like Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or Engineering
Preferred Qualifications
- Able to work independently and proactively engage with business stakeholders
- Strong verbal and written communication skills
Locations
- Dublin, Ireland
Salary
Salary details available upon request
28,000 - 38,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- excellent communication skills, both verbal and writtenintermediate
- Strong verbal and written communication skillsintermediate
Required Qualifications
- An upcoming sophomore or junior graduating in '27 or later, majoring in fields like Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or Engineering (experience)
Preferred Qualifications
- Able to work independently and proactively engage with business stakeholders (experience)
- Strong verbal and written communication skills (experience)
Responsibilities
- Develop a deep understanding of customer journey phases and key business metrics
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
- Work with cross-functional teams (including Data Science, value management, technical solutions, and customer success) to rapidly execute and iterate findings
Tags & Categories
Data Science - Customer Success Intern (Summer 2026)
Dropbox
Data Science - Customer Success Intern (Summer 2026)
Job Description
Role Description
As a Dropbox intern, you are part of a top-notch learning experience with data scientists from all backgrounds. You’ll have a dedicated Dropboxer by your side, mentoring you every step of the way.
Our goal is to create a robust and impactful learning experience. You can expect to learn how to apply modern data science principles across our revenue, marketing and product teams. We're all about feedback, so anticipate continual guidance refining your approach. And while you're forging your path, we're here to ensure you bond with like-minded interns, discover mentors, and lay the bricks for an expansive professional network.
Responsibilities
- Develop a deep understanding of customer journey phases and key business metrics
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
- Work with cross-functional teams (including Data Science, value management, technical solutions, and customer success) to rapidly execute and iterate findings
Requirements
- An upcoming sophomore or junior graduating in '27 or later, majoring in fields like Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or Engineering
Preferred Qualifications
- Able to work independently and proactively engage with business stakeholders
- Strong verbal and written communication skills
Locations
- Dublin, Ireland
Salary
Salary details available upon request
28,000 - 38,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- excellent communication skills, both verbal and writtenintermediate
- Strong verbal and written communication skillsintermediate
Required Qualifications
- An upcoming sophomore or junior graduating in '27 or later, majoring in fields like Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or Engineering (experience)
Preferred Qualifications
- Able to work independently and proactively engage with business stakeholders (experience)
- Strong verbal and written communication skills (experience)
Responsibilities
- Develop a deep understanding of customer journey phases and key business metrics
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
- Work with cross-functional teams (including Data Science, value management, technical solutions, and customer success) to rapidly execute and iterate findings
Tags & Categories