Docker

Senior Data Scientist, Data Insights

Docker3 months ago
Location

Seattle, WA

Workplace

Remote

Type

Full Time

Salary

USD 172,000 – 236,500

Level

Senior

Role

Data Scientist

Posted

Dec 15, 2025

Full TimeRemoteSenior

The role

Summary

Docker is seeking a Senior Data Scientist for their Data Insights team to drive strategic analytics and product decision-making. The ideal candidate will apply advanced statistical techniques to extract actionable insights from product usage data, working closely with cross-functional teams to inform business strategy and feature development.

What you'll do

Product Analytics & Experimentation: Analyze user behavior data, design and measure product experiments, and develop key performance indicators for Docker's product features.
Strategic Insights & Reporting: Generate actionable insights for Product Managers and Executive Leaders, creating deep-dive reports on critical business trends and strategic initiatives.
Technical Execution & Modeling: Apply statistical modeling and machine learning techniques to solve business problems, design data visualizations, and ensure data quality and integrity.
Collaboration & Communication: Partner with cross-functional teams, define data requirements, and mentor junior analysts on best practices in data analysis and visualization.

What we look for

Technical

Programming LanguagesExpert proficiency in SQL, Python or R with statistical analysis libraries
Data ToolsExperience with cloud data warehouses (Snowflake, Redshift, BigQuery) and visualization tools (Sigma, Tableau, Looker)
Statistical MethodsAdvanced knowledge of regression, hypothesis testing, time series analysis

Education

Academic BackgroundBachelor's degree in Computer Science, Engineering, or related field; Advanced degree (M.S. or Ph.D.) preferred

Experience

Industry Experience5-6+ years in Data Scientist or Product Analyst role, preferably in technology or SaaS
Experiment DesignProven experience in designing, launching, and analyzing A/B tests and product experiments

Skills

Required skills

Statistical AnalysisAdvanced statistical modeling and data interpretation skills
SQLComplex data extraction and manipulation expertise
CommunicationAbility to present complex analytical findings to technical and executive audiences

Nice to have

Domain KnowledgeExperience with developer tools or B2B SaaS product analytics
Container TechnologiesKnowledge of Docker, Kubernetes

Compensation & benefits

Salary

USD 172,000 – 236,500 (annual)

Stock options

Available

Benefits

Remote Work

Flexible, remote-first work culture

Home Office Setup

Stipend for comfortable home office equipment

Parental Leave

16 weeks of paid parental leave

Training Stipend

Funds for conferences, courses, and professional development

Equity

Stock options in a growing startup

Technology Stipend

Monthly net allowance for technology expenses

PTO

Flexible paid time off policy

Quarterly Whaleness Days

Special company-wide break days


Interview process

  1. 1
    Initial Screening Review of resume and initial phone/video interview with recruiter
  2. 2
    Technical Assessment Data analysis challenge or take-home project to assess technical skills
  3. 3
    Stakeholder Interviews Interviews with Data Insights team members and cross-functional leaders
  4. 4
    Final Interview Presentation of analytical project and discussion with senior leadership

Apply for this position

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