Associate Data Scientist

Fashionphile; Los Angeles (CA); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

Medical, Dental and Vision

401(k) match

Paid time off

Employee discount

Job summary

FASHIONPHILE is a luxury re-commerce brand seeking an Associate Data Scientist to turn customer, order, product, and sales data into actionable insights and AI-enabled tools.

You will work with data scientists, engineers, and business partners to build models for personalization, segmentation, and forecasting, while automating reports and dashboards to track KPIs.

Qualifications

• Bachelor's in Data Science, CS, Statistics, Math or related field with 2+ years in data roles.
• Alternatively, a Master's with 1+ year of relevant experience.
• Strong Python skills with Pandas, NumPy and Scikit-learn.
• Proficiency in SQL and data querying for structured data.
• Experience with AI pipelines and tools like Claude and Gemini.
• ML fundamentals including regression, classification, clustering and time series.
• Experience in EDA, feature engineering and model evaluation.
• Ability to communicate technical ideas to leadership and non-technical audiences.

Responsibilities

• Analyze customer, order, product, and sales data to drive decisions.
• Support development of ML models for personalization and recommendations.
• Build and maintain AI pipelines and LLM-powered tools.
• Automate reports and dashboards in Amazon QuickSight.
• Collaborate with data engineers on data sources and feature prep.
• Perform causal analyses to assess site/personalization changes.
• Deliver ad hoc analyses to stakeholders across teams.
• Present findings clearly to leadership.

Skills

Python

Pandas

NumPy

Scikit-learn

SQL

AI tools

ML fundamentals

Exploratory data analysis

Feature engineering

Model evaluation

Communication

Problem solving

Education

Bachelor's in Data Science/CS/Stats/Math

Master's in related field (optional)

Tools

Claude

Gemini

AWS Redshift

Amazon QuickSight

Git

Bedrock

Job description

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.

About The Opportunity

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 QuickSight 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.

What We’re Looking For

• 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

• Alternatively, a Master's degree in a related field with 1+ year of relevant experience

• Strong programming skills in Python, including Pandas, NumPy, 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 QuickSight is a plus

• Experience with Git or version control is a plus

• Experience in e-commerce or retail is a plus

What We Offer

• Medical, Dental and Vision Coverage

• FSA options for Medical, Dependent Care & Commuter Benefits

• Paid Time off, Paid Sick Time, and Paid Holidays

• 401(k) with generous match program

• Free Life Insurance and AD&D

• Long-Term Disability Insurance

• Employee Discount

Pay Scale: FASHIONPHILE reasonably expects the range to be $90,000 - $110,000 for this position. The company prefers to hire in our Carlsbad, CA location, but is open to all states we employ within. Offered compensation will vary based on (a) location; (b) individual candidate qualifications; and (c) individual candidate experience. This post may be updated as new market data becomes available and is accurate as of the date of this posting. FASHIONPHILE reserves the right to modify this information at any time, subject to applicable law.