Data Scientist (Product Analytics & Experimentation)

Job Description

Job Title: Data Scientist IV (Product Analytics & Experimentation)

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Location: Bellevue, WA

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Duration: 12 Months (Potential Extensions)

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We are seeking a Data Scientist to join a team focused on measuring platform performance, identifying growth opportunities, and driving data-informed decision making. In this role, you will partner closely with Product Managers, Engineers, and cross-functional stakeholders to develop key metrics, evaluate experiments, and provide actionable insights that influence product and infrastructure investments.

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This is an excellent opportunity for a data scientist who thrives at the intersection of analytics, experimentation, and product strategy, and enjoys solving complex problems at scale.

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Required Skills

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• SQL - Advanced

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• Product Analytics

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• Experimentation & A/B Testing

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• Statistical Analysis

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• Hypothesis Testing

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• Dashboard Development

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• Data Visualization

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• KPI Development

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• Data Storytelling

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• Cross-Functional Collaboration

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• Python (Preferred)

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Nice-to-Have Experience:

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• Product growth analytics

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• User behavior analysis

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• Performance measurement and reporting

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• Business intelligence and decision support

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• Large-scale data environments

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Responsibilities

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• Define, develop, and maintain core business and product metrics.

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• Design and analyze online experiments and A/B tests to measure feature and product performance.

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• Build dashboards and reporting solutions that provide visibility into key performance indicators.

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• Perform exploratory data analysis to identify trends, opportunities, and areas for improvement.

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• Partner with Product, Engineering, and Operations teams to understand business challenges and translate them into analytical solutions.

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• Communicate complex analytical findings clearly to both technical and non-technical stakeholders.

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• Develop recommendations based on data insights and influence decision-making across cross-functional teams.

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• Ensure data quality, accuracy, and consistency across reporting and analysis workflows.

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Minimum Qualifications

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• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Data Science, or a related quantitative field.

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• 4+ years of experience in Data Science, Product Analytics, Business Analytics, or a related field.

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• Advanced SQL skills with experience querying and analyzing large-scale datasets.

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• Strong experience with experimental design, A/B testing, hypothesis testing, and statistical inference.

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• Experience defining and monitoring product metrics and KPIs.

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• Experience building dashboards and data visualization solutions.

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• Proven ability to communicate insights and recommendations to cross-functional stakeholders.

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• Strong analytical, problem-solving, and critical-thinking skills.

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Preferred Qualifications

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• Master's degree in a quantitative discipline.

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• Experience using Python for data analysis and statistical modeling.

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• Experience working with large-scale data platforms and distributed datasets.

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• Familiarity with causal inference, experimentation methodologies, and product measurement frameworks.

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• Experience partnering with Product Managers and Engineering teams in a technology or digital product environment.

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