Data Scientist, Data Insights
Docker, Inc
full-time
Posted on:
Location Type: Remote
Location: Remote • Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $162,000 - $222,800 per year
Job Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftBigQueryCloudDockerPythonSQLTableau
About the role
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonRstatistical modelingA/B testingdata visualizationregressionhypothesis testingtime series analysisdata manipulation
Soft skills
communicationanalytical thinkingcollaborationmentoringindependencepresentation skillsproblem-solvingproject managementstakeholder engagementnarrative building