Senior Data Scientist
Dropbox•2h ago
United StatesRemoteFull-timeSenior Level5+ yrs exp
Visa-friendly
Top focus
Data ScientistSenior Data ScientistVp DataData Analyst
- Role Description
- We're looking for a Senior Data Scientist to partner with product, engineering
- design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) area s . This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding
- building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis
- customer segmentation. We’re looking for someone who can bring opinions and strong narrative framing to proactively influence the business.
- Responsibilities
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
- Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
- Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward that are grounded in data.
- Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
- Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- Requirements
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 8 + years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
- Significant experience with SQL
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
- Strong verbal and written communication skills
- Strong leadership and influence skills
- Preferred Qualifications
- Product analytics experience in a SAAS company
- Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
- Durable Skills
- AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:
- Awareness: U nderstand yourself and others .
- Judgment: E valuat e information and mak e decisions in complex situations .
- Adaptability: L earn, adjust, and stay effective through change .
- Connection: C ommunicat e , collaborat e , and build trust .
- To learn more about why these skills matter and what the data shows about thriving through change, read this blog post from our Chief People Officer, Melanie Rosenwasser.
- Compensation
- US Zone 1
- $193,000 — $261,000 USD
- US Zone 2
- $173,700 — $234,900 USD
- US Zone 3
- $154,400 — $208,800 USD
Required skills
PythonR