Docker - Senior Data Scientist, Data Insights
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Requirements
• Technical Expertise • Technical Expertise • 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. • (Python or R) • Proven experience designing, launching, and analyzing A/B tests or other product experiments. • 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). • Analytical & Statistical Foundations • 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. • Communication & Leadership • 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: • 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). • Key Success Metrics • Key Success Metrics • Impact of actionable insights on product feature adoption and business revenue. • Quality and clarity of executive-level deep-dive reports. • Successful design and interpretation of product experiments. • Demonstrated independence in driving analytical projects.
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 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 performance of strategic initiatives, presenting findings in a clear narrative. • Collaborate with engineering teams on data logging, instrumentation, and ensuring accuracy of product data pipelines. • Influence product and business strategy by framing data-informed tradeoffs and recommendations for senior leaders. • Apply statistical modeling and machine learning techniques to solve business problems (e.g., churn prediction, segmentation). • 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 to define data requirements and analytical objectives. • Coach and mentor junior analysts
Benefits
• Freedom & flexibility; fit your work around your life • Designated quarterly Whaleness Days plus end of year Whaleness break • 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 • Medical benefits, retirement and holidays vary by country • Remote-first culture, with offices in Seattle and Paris • Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. • Due to the remote nature of this role, we are unable to provide visa sponsorship.
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