Data Scientist

Overview

We are seeking a Data Scientist to join a high-impact team focused on using data to inform product decisions and improve customer experience s role centers on experimentation, causal analysis, and predictive modeling, partnering closely with product and engineering teams to uncover insights and drive measurable business outcomes. This is a hands‑on role with a strong emphasis on experimentation frameworks, causal analysis, and data-driven product decision‑making.

• Location:
  
  Seattle, WA (Hybrid – 3 days onsite)
• Job Type: Contract
• Experience Level: Mid-level

• Design and analyze experiments (A/B testing) to evaluate product features
• Build and maintain data pipelines to support experimentation, analytics, and scalable product insights
• Develop predictive models to understand user behavior and system performance
• Translate data findings into actionable insights that directly influence product and engineering decisions
• Perform analysis using SQL and Python on large datasets
• Partner cross‑functionally to define metrics and measure impact

• 3–5+ years of data science or analytics experience
• Strong SQL and Python skills
• Experience with experimentation (A/B testing), hypothesis testing, or causal analysis
• Experience working with data pipelines and large-scale datasets
• Ability to drive business or product decisions using data

• Forecasting or time series experience
• Product analytics or customer behavior analysis
• Experience with cloud or modern data tools (e.g., Snowflake, Databricks)
• Exposure to NLP, LLMs, or unstructured data analysis

• Python, SQL, Data Analysis, Experimentation, Predictive Modeling

The pay range for this position is $60.00–$65.00/hr.

Benefits (subject to eligibility and length of employment):

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This position is anticipated to close on Jun 3, 2026.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.