Docker, Inc · 1 hour ago
Data Scientist, Data Insights
United States
Full-time
Remote
Mid Level
$162K/yr - $223K/yr
3+ years expDocker, Inc. is a leading company in app development, aiming to simplify the process for developers. They are seeking a Data Scientist to join their Data Insights team, focusing on applying statistical techniques and analytical methods to derive actionable insights from product and business data.
Developer PlatformDeveloper ToolsInformation TechnologySoftware
No H1B
Responsibilities
Understand detailed usage of Docker products by analyzing user behavior data, translating complex questions into analytical plans, and building robust product metrics
Run and measure product experiments (A/B tests) from design through interpretation, clearly articulating results and recommendations to stakeholders
Develop and maintain key performance indicators (KPIs) and operational metrics for product features and overall business health
Provide actionable insights for Product Managers on user engagement, feature adoption, and growth opportunities to directly inform the product roadmap
Build deep dive reports for Executive Leaders on critical business trends and the performance of strategic initiatives, presenting findings in a clear, compelling narrative
Collaborate with engineering teams on data logging, instrumentation, and ensuring the accuracy of product data pipelines
Apply statistical modeling and machine learning techniques to solve business problems (e.g., churn prediction, segmentation, propensity modeling)
Design and implement data visualizations and self-service dashboards to democratize data access across the organization
Ensure data quality and integrity for all analytical outputs and reports
Partner with cross-functional teams (Product, Engineering, Marketing, Sales) to define data requirements and analytical objectives
Mentor junior analysts on best practices for data visualization, statistical analysis, and clear communication of results
Qualification
Required
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
Preferred
Experience analyzing data related to developer tools or B2B SaaS products
Advanced degree (M.S. or Ph.D.) in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics
Knowledge of container technologies (Docker, Kubernetes)
Benefits
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
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
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
Remote-first culture, with offices in Seattle and Paris
Company
Docker, Inc
At Docker, we simplify the lives of developers who are making world-changing apps.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$435.86MKey Investors
Bain Capital VenturesTribe CapitalInsight Partners
2022-03-31Series C· $105M
2021-03-16Series B· $23M
2019-11-13Series A· $35M
Leadership Team
Jean-Laurent de Morlhon
Vice President of Software Engineering
Dieu Cao
Head Of Product Management
Recent News
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2025-12-24
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