Lily AI is the first platform that bridges the gap between brand-speak and customer-speak to drive exponential growth for companies large and small. Lily AI seamlessly injects customer-centric product attributes into site search engines, recommendation systems, SEO/SEM capabilities and item setup processes to drive exponential lifts in traffic, conversion, revenue and brand loyalty.

Lily AI is a female-founded retail AI company empowering retailers and brands by bridging the gap between merchant-speak and customer-speak. Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), Lily AI enhances customer shopping experiences by injecting consumer-centric language throughout the retail technology ecosystem. Interoperable with leading eCommerce platforms, Lily AI maximizes existing tech investments to deliver upwards of 9-figure revenue lift through improved product attribution, enhanced discovery, and higher customer conversion. Learn more at www.lily.ai.

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