Associate Data Scientist

FASHIONPHILE is more than just fashion — we’re revolutionizing the ultra-luxury fashion experience in order to create a sustainable alternative that extends the life cycle of products and makes them more accessible to a diverse customer base. As we strive to become the world's most sought-after brand in luxury re-commerce, we know it's our team members who make it all happen!

We value diversity in our people, perspectives, and products. For us, it's the only way to cultivate the creativity and innovation essential to achieving our mission and supporting our customers. We do this both in-person and through our digital omni-channel experiences. If you're someone who embraces change, is authentic, and wants to make an impact this is the place for you.

The Associate Data Scientist supports data-driven decision-making across FASHIONPHILE by turning customer, order, product, and sales data into insights, models, and AI-enabled tools. Working closely with data scientists, data engineers, data analysts, and multiple business stakeholders, the role combines statistical analysis and machine learning to help teams solve the right problems faster.

Responsibilities include:

• Analyzing customer behavior across the e-commerce journey to identify trends and patterns that drive engagement, conversion, retention, and repeat purchases.
• Supporting the development of statistical and machine learning models, including personalization, product recommendation, customer segmentation, time series forecasting, clustering, and regression.
• Helping build and maintain AI pipelines and LLM-powered tools, and using Claude and Gemini to accelerate SQL and Python development while validating their outputs.
• Automating recurring reports, analyses, and data workflows, and building dashboards in Amazon Quick Sight to track key performance indicators.
• Collaborating with data engineers to understand our data sources, data models, and business definitions, and extracting, cleaning, and transforming large datasets to prepare features for model development and validation.
• Running causal analyses to measure the impact of site and personalization changes and recommend improvements.
• Partnering with Merchandising, Operations, Sales, and Customer Experience to prioritize requests and deliver ad hoc analyses that answer business questions quickly and accurately.
• Presenting findings and recommendations to leadership in a clear, concise, and actionable way.

• Bachelor's degree in Data Science, Computer Science, Statistics, Math, or another analytical discipline with 2+ years of experience as a data analyst or in a data science role
• Strong programming skills in Python, including Pandas, Num Py, and Scikit-learn
• Proficiency in SQL for querying and managing structured data
• Experience working with AI tools and pipelines, such as Claude and Gemini
• Foundation in machine learning and statistical techniques, including regression, classification, clustering, recommendation systems, and time series forecasting
• Experience with exploratory data analysis, feature engineering, and model evaluation
• Strong problem-solving skills, a habit of validating your own work before sharing it, and the ability to manage multiple stakeholders and priorities
• Ability to communicate technical concepts and results clearly to leadership and non-technical audiences
• Familiarity with causal inference is a plus
• Experience with LLM APIs, prompt engineering, AI system design, and AI evals is a plus
• Experience with AWS (e.g., Redshift, Bedrock) is a plus
• Experience with Amazon Quick Sight is a plus
• Experience with Git or version control is a plus
• Experience in e-commerce or retail is a plus

• A Master's degree in a related field with 1+…