Associate Data Scientist

FASHIONPHILE; Carlsbad (CA); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

Medical, Dental and Vision Coverage

FSA options for Medical, DependentCare

Paid Time off and Holidays

401(k) with generous match

Life Insurance and AD&D

Long-Term Disability Insurance

Employee Discount

Job summary

FASHIONPHILE is seeking an Associate Data Scientist to transform customer, order, product, and sales data into actionable insights. You will work with data scientists, engineers, analysts and business stakeholders to build ML models and AI tools that enhance engagement and conversions.

You will develop personalization, recommendations, segmentation, and time-series forecasting, while automating reports and dashboards in QuickSight. Strong communication with leadership is essential.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Math, or an analytical field with 2+ years in data analytics/science.
• Strong Python skills with Pandas, NumPy and Scikit-learn.
• Proficiency in SQL for querying and managing structured data.
• Experience with AI tools and pipelines (Claude, Gemini).
• Knowledge of ML methods: regression, classification, clustering, forecasting, recommendation.
• Experience with EDA, feature engineering, model evaluation.
• Excellent problem solving and stakeholder management.
• Ability to communicate technical results to non-technical audiences.

Responsibilities

• Analyze customer behavior across the e-commerce journey to drive engagement and conversions.
• Develop statistical and ML models for personalization, recommendations, segmentation, forecasting.
• Build and maintain AI pipelines and LLM-powered tools; validate outputs.
• Automate reports and dashboards in Amazon QuickSight to track KPIs.
• Collaborate with data engineers to extract and prepare large datasets.
• Run causal analyses to measure impact of site changes and personalization.
• Partner with Merchandising, Operations, Sales and CX for ad hoc analyses.
• Present findings to leadership clearly and concisely.

Skills

Python (Pandas, NumPy, Scikit-learn)

SQL

Data analysis

Communication to leadership

Problem solving

Stakeholder management

Model evaluation

Prompt engineering / AI evals

Education

Bachelor's degree in Data Science / CS / Statistics or similar

Master's degree (preferred)

Tools

Claude

Gemini

AWS (Redshift, Bedrock)

Amazon QuickSight

Git

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
• 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

Preferred Experience

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

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

This position requires valid, ongoing U.S. work authorization. Please note that we are unable to support visa petitions or transitions.

Pay Scale: FASHIONPHILE reasonably expects the range to be $90,000 - $110,000 for this New Hire into Fashionphile's California or Utah locations. 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.