Associate Data Scientist
FASHIONPHILE•Los Angeles, CA
•$90,000 - $110,000
About The Position
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 business stakeholders, the role combines statistical analysis and machine learning to help teams solve business problems. The company prefers the role to be based in Carlsbad, California, but is open to candidates in states where it employs.
Requirements
- Bachelor's degree in Data Science, Computer Science, Statistics, Math, or another analytical discipline and 2+ years of experience as a data analyst or in a data science role; alternatively, a related master's degree and 1+ year of relevant experience.
- Strong Python programming skills, 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 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.
Nice To Haves
- Familiarity with causal inference.
- Experience with LLM APIs, prompt engineering, AI system design, and AI evaluations.
- Experience with AWS, such as Redshift or Bedrock.
- Experience with Amazon QuickSight.
- Experience with Git or version control.
- Experience in e-commerce or retail.
Responsibilities
- Analyze customer behavior across the e-commerce journey to identify trends and patterns that drive engagement, conversion, retention, and repeat purchases.
- Support development of statistical and machine learning models, including personalization, product recommendation, customer segmentation, time series forecasting, clustering, and regression.
- Help build and maintain AI pipelines and LLM-powered tools; use Claude and Gemini to accelerate SQL and Python development while validating their outputs.
- Automate recurring reports, analyses, and data workflows, and build dashboards in Amazon QuickSight to track key performance indicators.
- Collaborate with data engineers to understand data sources, data models, and business definitions, and extract, clean, and transform large datasets for feature preparation and model development and validation.
- Run causal analyses to measure the impact of site and personalization changes and recommend improvements.
- Partner with Merchandising, Operations, Sales, and Customer Experience to prioritize requests and deliver timely, accurate ad hoc analyses.
- Present findings and recommendations to leadership in a clear, concise, and actionable way.
Benefits
- Medical, dental, and vision coverage.
- FSA options for medical, dependent care, and commuter benefits.
- Paid time off, paid sick time, and paid holidays.
- 401(k) with a generous match program.
- Free life insurance and AD&D.
- Long-term disability insurance.
- Employee discount.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
