Data Scientist (Product Analytics & Experimentation)

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

Location: Bellevue, WA

Duration: 12 Months (Potential Extensions)

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.

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.

Required Skills

• SQL - Advanced
• Product Analytics
• Experimentation & A/B Testing
• Statistical Analysis
• Hypothesis Testing
• Dashboard Development
• Data Visualization
• KPI Development
• Data Storytelling
• Cross-Functional Collaboration
• Python (Preferred)

Nice-to-Have Experience:

• Product growth analytics
• User behavior analysis
• Performance measurement and reporting
• Business intelligence and decision support
• Large-scale data environments

Responsibilities

• Define, develop, and maintain core business and product metrics.
• Design and analyze online experiments and A/B tests to measure feature and product performance.
• Build dashboards and reporting solutions that provide visibility into key performance indicators.
• Perform exploratory data analysis to identify trends, opportunities, and areas for improvement.
• Partner with Product, Engineering, and Operations teams to understand business challenges and translate them into analytical solutions.
• Communicate complex analytical findings clearly to both technical and non-technical stakeholders.
• Develop recommendations based on data insights and influence decision-making across cross-functional teams.
• Ensure data quality, accuracy, and consistency across reporting and analysis workflows.

Minimum Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Data Science, or a related quantitative field.
• 4+ years of experience in Data Science, Product Analytics, Business Analytics, or a related field.
• Advanced SQL skills with experience querying and analyzing large-scale datasets.
• Strong experience with experimental design, A/B testing, hypothesis testing, and statistical inference.
• Experience defining and monitoring product metrics and KPIs.
• Experience building dashboards and data visualization solutions.
• Proven ability to communicate insights and recommendations to cross-functional stakeholders.
• Strong analytical, problem-solving, and critical-thinking skills.

Preferred Qualifications

• Master's degree in a quantitative discipline.
• Experience using Python for data analysis and statistical modeling.
• Experience working with large-scale data platforms and distributed datasets.
• Familiarity with causal inference, experimentation methodologies, and product measurement frameworks.
• Experience partnering with Product Managers and Engineering teams in a technology or digital product environment.