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 this role:

• 4+ years of relevant work experience as a Data Scientist.
• Masters or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, or a related discipline.
• Strong understanding of statistical techniques, such as regression models, significance testing, power calculations, and causal inference. Advanced training in statistics is preferred.

• 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.
• Familiarity with data visualization tools like Tableau, Superset, or similar platforms.
• Experience with Adobe Analytics and/or Google Analytics.
• 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.
• Experience with eCommerce Analytics or AB Testing platforms is a plus.
• Experience in data engineering is a plus.

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:

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 $140,000 - $210,000 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.