СШАData Science Intern (2027)
1 мес. назад
46 USD / часСШАTraineeOnsite
statisticsdata analysisdata modelingdata pipelinesexperiment evaluationpython
Internship role focusing on data analysis, modeling, and building data pipelines to support product and business growth at .
Обязанности
- Collaborate with cross-functional teams to turn business questions into data problems
- Evaluate experiments and surface metrics that guide product decisions
- Build models to understand user behavior and predict growth
- Design data pipelines and tools that make product data more scalable and accessible
- Focus areas may include analytics, experimentation, or infrastructure - based on your strengths and interests
Требования
- Experience with Python (or similar scripting language) and SQL
- Solid understanding of statistical methods or data systems
- Strong problem-solving and communication skills
- Familiarity with data infrastructure concepts or large-scale data pipelines
- At , one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Условия
- This internship role is based in either ’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. also offers interns a housing stipend and travel reimbursement. ’s compensation and benefits are subject to change and may be modified in the future.
- Internship
- $46 — $46 USD
- At we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
- Examples of accommodations include but are not limited to:
- Holding interviews in an accessible location
- Enabling closed captioning on video conferencing
- Ensuring all written communication be compatible with screen readers
- Changing the mode or format of interviews
- To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
- By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with 's Candidate Privacy Notice .
Другое
- is growing our team of passionate creatives and builders on a mission to make design accessible to all. ’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
- The Data team at partners directly with product and engineering to uncover insights, build scalable data systems, and bring a data lens to business problems critical to 's growth. As an intern on our team, you'll work on technical challenges that have real impact on our product and business, and we're looking for interns with strong foundations in coding and statistics — or data systems — who are clear communicators with both technical and non-technical audiences.
- This internship will be based out of our San Francisco or New York Hub.
- Improve experimentation accuracy and velocity through new testing methodologies
- Investigate user behavior and recommend product improvements
- Build internal data infrastructure and models that support cross-functional teams
- Explore growth opportunities through KPI research and funnel analysis