In this role, you will:

• Utilize quantitative analysis techniques to analyze large data sets and generate meaningful insights to inform decision-making.
• collaborate with various internal teams, including Product and Engineering, to implement standard experimentation methodologies and designs.
• Continuously evaluate our experimentation platform to ensure that we measure the appropriate business metrics, apply statistical best practices, and achieve positive business outcomes.
• Conduct a comprehensive analysis of metrics lift using causal-inference methods and innovative approaches, and communicate your findings to stakeholders and senior management.
• Develop statistical models to gain insight into customer behavior and the factors that impact experimentation results.
• Foster a spirit of curiosity and strive to identify emerging trends and insights to help us enhance the customer experience and grow the business.

What we consider critical for the role:

• 4+ years of relevant work experience as a Data Scientist or Data Analyst.
• Master's degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, or a related discipline.
• Strong understanding of statistical techniques, such as significance testing, power calculations, and causal inference. Advanced training in statistics is preferred.
• Experience with Retail or other customer industries, especially e-commerce.
• Experience with Web Analytics tools like Adobe/ Google Analytics.
• Proven experience designing metrics and creating systems to generate actionable business insights.
• Proficiency in SQL and at least one scripting language, such as Python or R.
• Expert in data visualization tools like Tableau, Superset, or similar platforms.
• Exceptional attention to detail and analytical skills, with the ability to detect and diagnose anomalies, errors, or issues.
• Excellent communication and presentation abilities, capable of effectively conveying complex quantitative analyses to engineering or executive-level stakeholders in a clear and concise manner.

Currently, we are hiring from the following states – (candidates must be in current residence or open to relocating):

California ● Florida ● Georgia ● Illinois ● Massachusetts

Minnesota ● Nevada ● New Jersey ● New York ● North Carolina

Rhode Island ● Tennessee ● Texas ● Virginia ● Washington ● Utah ● Arizona

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $122,500 - $158,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.