Our mission is simple: to make personalized skincare accessible and convenient for all. Awarded one of Inc's Best Workplaces 2019 and 2020 Forbes #8 Startup Company, (COMPANY NAME) is a leader in direct-to-consumer ecommerce and has been featured in Vogue, Allure, Harper's Bazaar, and Business Insider.
(COMPANY NAME) is creating the next generation of skincare through customized treatment plans and formulas with powerful prescription ingredients for acne and anti-aging. We believe great skin shouldn't be a luxury, but a fact of life.
About (COMPANY NAME)
Clear skin can be life-changing, but it's not easy to see a dermatologist. At (COMPANY NAME), we provide custom-formulated skincare for each patient's skin shipped directly to their door. We tailor the entire (COMPANY NAME) experience specifically for patients with acne and anti-aging concerns, allowing us to provide incredibly personalized, effective and affordable care at scale.
Join this extremely fast-growing, data-driven company that's dedicated to helping bring effective skincare to everyone. We've tripled our business over the last year and we aren't planning to slow down anytime soon. We're a tight-knit team and we're looking for somebody eager to use data to tackle critical business decisions around media buying, attribution, user LTV, and more.
We're looking for a highly motivated data science intern with an interest in data visualization, modeling, and/or consumer insights research to identify relevant and actionable insights and communicate recommendations to stakeholders. The role requires someone who is experienced in SQL, R or Python, is a proactive self-starter, has a curious mind for exploratory analysis, and good storytelling ability to communicate findings.
What you'll do
Collaborate with the data science team to identify opportunity areas and generate actionable insights
Make conclusions from your analysis, present your results, and advocate for proposed next steps to key decision makers
Learn and apply statistical modeling techniques from our data scientists
Build intuitive and efficient data visualizations to empower teams with actionable data
Constantly look for improvements in tools, data sources, data quality, and analytic techniques
What we're looking for
Passion for what we do!
You are scary good with data. Sample bias, lag effects, data sparsity issues - these things are second nature to you.
Expertise in SQL, understanding of statistics and experience with data visualization tools, at least 1 year of experience with Python or R
Analytical mindset, with the ability to focus on a problem, ask insightful questions, reject presuppositions, and gain expertise quickly
Understanding of web analytics, marketing analytics, digital marketing and economics
Ability to effectively partner, collaborate, and communicate with technical and non-technical colleagues in various business functions at all levels
Ability to work independently in an unstructured environment
Willingness to do whatever is needed: we are a lean team
This is a full-time role (not a seasonal role) post-college applicants preferred
Experience at a high-growth startup is a plus
Must be eligible to work in the U.S