Senior Data Scientist, Data Insights – (Remote|USA)

Docker is hiring a Data Scientist, Data Insights for a high-impact role tied to its Engineering organization, with the position listed in Seattle, Washington, United States. This opportunity offers a strong compensation range of $162,000 to $222,750 per year and is ideal for a data professional who can combine statistical depth, product analytics expertise, experimentation experience, and strong business communication to influence product strategy at scale.

Docker is one of the most recognizable names in developer infrastructure, trusted by startups and Fortune 100 companies alike. With over 20 million monthly users and 20 billion image pulls, Docker continues to be the leading platform for building, sharing, and running applications. As a remote-first company with a global team, Docker offers the chance to work on products used by millions while contributing to a deeply technical, developer-focused ecosystem.

About the Job

Docker is looking for a Data Scientist to join its Data Insights team as a key individual contributor. This is a hands-on role centered on extracting business and product value from data through advanced analytics, experimentation, statistical modeling, and executive-ready storytelling.

The person in this role will work closely with Product Managers, Executive Leaders, and Engineering teams to:

• Define and refine product metrics
• Measure product health
• Evaluate experiments
• Surface strategic business insights
• Support feature development with data-backed recommendations

This is not just a dashboarding role. Docker is specifically seeking someone who can independently tackle complex analytical problems, build rigorous frameworks, and translate technical findings into decisions that matter.

What You’ll Be Doing

1) Product Analytics & Experimentation

You will:

• Analyze detailed Docker product usage data to understand user behavior patterns and product engagement.
• Translate open-ended product and business questions into structured analytical plans.
• Build and refine robust product metrics that help teams track usage, adoption, and overall health.
• Design, run, and interpret A/B tests and other product experiments from start to finish.
• Clearly explain experiment results, business implications, and recommended next steps to stakeholders.
• Develop and maintain KPIs and operational metrics for product features and broader business performance.

2) Strategic Insights & Executive Reporting

You will also:

• Provide actionable insights to Product Managers around:
  • User engagement
  • Feature adoption
  • Growth opportunities
  • Product roadmap priorities
• Build deep-dive reports for executive leadership on:
  • Major business trends
  • Strategic initiative performance
  • Product and revenue signals
• Present findings in a way that combines analytical rigor with a clear and persuasive narrative.
• Work with engineering teams to improve:
  • Data logging
  • Product instrumentation
  • Data pipeline accuracy

3) Technical Execution & Modeling

This role includes advanced analytical and modeling work, such as:

• Applying statistical modeling and machine learning to business problems, including:
  • Churn prediction
  • Customer segmentation
  • Propensity modeling
• Designing and implementing:
  • Data visualizations
  • Self-service dashboards
  • Reporting systems that make data easier to access across teams
• Ensuring data quality, integrity, and reliability for all analytical outputs

4) Collaboration & Leadership

Although this is an individual contributor role, Docker also expects strong cross-functional influence. You will:

• Partner with:
  • Product
  • Engineering
  • Marketing
  • Sales
• Define data requirements and analytical objectives across teams.
• Mentor junior analysts on:
  • Data visualization best practices
  • Statistical analysis
  • Communicating insights clearly to technical and non-technical audiences

Required Qualifications

Docker is looking for a strong analytical professional with both technical depth and business-facing communication ability.

Technical Expertise

You should have:

• 3+ years of experience in a Data Scientist or Product Analyst role
• Preferably experience in a technology or SaaS company
• Expert-level SQL for complex querying, transformation, and analysis
• Strong proficiency in Python or R for:
  • Data manipulation
  • Statistical analysis
  • Modeling
• Proven experience designing, launching, and analyzing:
  • A/B tests
  • Product experiments
• Experience with cloud data warehouses, such as:
  • Snowflake
  • Redshift
  • BigQuery
• Experience with data visualization / BI tools, such as:
  • Sigma
  • Tableau
  • Looker

Analytical & Statistical Foundations

You should also bring:

• Advanced understanding of:
  • Regression
  • Hypothesis testing
  • Time series analysis
  • Applied statistical methods for business decision-making
• The ability to turn open-ended business questions into clear analytical projects with measurable outputs

Communication & Ownership

Docker values people who can operate independently and communicate clearly. You should have:

• Excellent written and verbal communication skills
• Confidence presenting complex analyses to both:
  • Technical teams
  • Executive leadership
• Proven ability to drive projects independently from idea to delivery with minimal oversight

Preferred Qualifications

While not mandatory, these qualifications will strengthen your application:

• Experience analyzing data for:
  • Developer tools
  • B2B SaaS products
• An advanced degree such as an:
  • M.S.
  • Ph.D.
    In a quantitative field like:
  • Statistics
  • Computer Science
  • Economics
  • Mathematics
• Familiarity with:
  • Docker
  • Kubernetes
  • Container technologies in general

Key Success Metrics

Docker has clearly outlined how success will be measured in this role. Performance will likely be evaluated based on:

• The impact of your insights on:
  • Product feature adoption
  • Business revenue
• The quality and clarity of:
  • Executive-level deep-dive reports
• Your ability to:
  • Design strong experiments
  • Interpret results correctly
  • Translate findings into decisions
• Demonstrated independence in leading analytical initiatives

Compensation

• Salary Range: $162,000 – $222,750 per year

This is a strong senior-level compensation band and reflects the level of analytical ownership and business impact expected from the role.

Important Note

• Docker does not offer visa sponsorship for this role.

This is especially important if you are applying internationally or would require employer-sponsored work authorization.

How to Apply?

If You are interested in this job
Click Here to APPLY NOW