Docker is seeking a Data Scientist to join our Data Insights team. You will be a key individual contributor, applying statistical rigor and advanced analytical techniques to extract value from our product and business data.
Requirements
- 3+ years of experience in a Data Scientist or Product Analyst role, preferably within a technology or SaaS company.
- Expert proficiency in SQL for complex data extraction and manipulation.
- Strong proficiency in a statistical programming language (Python or R), including libraries for data manipulation, analysis, and statistical modeling.
- Proven experience designing, launching, and analyzing A/B tests or other product experiments.
- Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and data visualization tools (e.g., Sigma, Tableau, Looker).
- Advanced knowledge of statistical methods (regression, hypothesis testing, time series analysis) and their application to business problems.
- Demonstrated ability to translate open-ended business questions into structured analytical projects and deliverables.
- Excellent verbal and written communication skills, with the ability to present complex analytical findings to both technical and executive audiences.
- Demonstrated ability to work independently and drive projects from conception to completion with minimal supervision.
Benefits
- Freedom & flexibility; fit your work around your life
- Designated quarterly Whaleness Days
- Home office setup; we want you comfortable while you work
- 16 weeks of paid Parental leave
- Technology stipend equivalent to $100 net/month
- PTO plan that encourages you to take time to do the things you enjoy
- Quarterly, company-wide hackathons
- Training stipend for conferences, courses and classes
- Equity; we are a growing start-up and want all employees to have a share in the success of the company
- Docker Swag
- Medical benefits, retirement and holidays vary by country
