Job Description
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.