Experimentation Data Scientist - Hybrid (Seattle)

Releady

Seattle, Northern (WA, KY)

Hybrid

USD 48,000 - 59,000

Part time

14 days+
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Job summary

Releady in Seattle seeks a junior to mid-level Experimentation Data Scientist to design, execute, and analyze digital and business experiments across pricing, loyalty, and merchandising. The role blends data science with commercial strategy and offers mentorship from the hiring team.

You will work hybrid (3 days onsite) on a 6-month contract-to-hire, using Python, SQL, and Databricks, with exposure to Optimizely and Tableau for reporting.

Qualifications

  • Strong hands-on skills in Python, SQL, and Databricks.
  • Solid understanding of statistics and hypothesis testing fundamentals.
  • 1–3 years of analytics, data science, or quantitative experience.
  • Bachelor's degree in statistics, mathematics, economics, data science, or related field.
  • Proficiency with Excel, PowerPoint, Word; SQL/Python programming.
  • Excellent communication, able to translate analysis to business recommendations.
  • Highly organized, detail-oriented, self-motivated, able to work independently.

Responsibilities

  • Design experiment hypotheses, success metrics, sample sizes, and test plans in collaboration with pricing, revenue management, loyalty, and digital teams.
  • Execute experiment/test plans using established practices and governance standards.
  • Interpret results, validate statistical significance, and translate findings into actionable business recommendations.
  • Communicate outcomes through presentations and data storytelling for both technical and non-technical audiences.
  • Maintain experimentation documentation and contribute to process improvements and consistency.
  • Ensure data integrity and quality through data reconciliation, integration, and auditing.
  • Use Python, SQL, and Databricks for analysis and data manipulation; exposure to Optimizely for test execution; reporting in Tableau/PowerPoint/Excel.
  • Support experimentation across pricing/revenue optimization, loyalty programs, and digital merchandising.

Skills

Python
SQL
Databricks

Education

Bachelor's degree

Tools

Optimizely

Job description

Releady in Seattle seeks a junior to mid-level Experimentation Data Scientist to design, execute, and analyze digital and business experiments across pricing, loyalty, and merchandising. The role blends data science with commercial strategy and offers mentorship from the hiring team.

You will work hybrid (3 days onsite) on a 6-month contract-to-hire, using Python, SQL, and Databricks, with exposure to Optimizely and Tableau for reporting.

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