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FASHIONPHILE

Associate Data Scientist

Carlsbad, CA, United States
Lehi, UT, United States
Los Angeles, CA, United States

Pay Scale: FASHIONPHILE reasonably expects the range to be $90,000 - $110,000 for this position.

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Job details

Pay: Pay Scale: FASHIONPHILE reasonably expects the range to be $90,000 - $110,000 for this position.
Posting language: English
Posted: Oct 23, 2026

Original 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.

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More about this job

Skills

Decision making
Sales
Statistics
Machine learning
Customer segmentation
Forecasting
SQL
Python
Track key performance indicators
Data models
Cleaning
Merchandising
Customer experience
Computer science
NumPy
Scikit-learn
Data analysis
Problem solving
AWS
Amazon Redshift
Git

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