Associate Data Scientist
The Associate Data Scientist at Confidential Client leverages customer, order, product, and sales data to generate actionable insights and develop machine learning models that enhance customer engagement and business outcomes. This role involves building AI-enabled tools, automating data workflows, and collaborating cross-functionally to support data-driven decision-making in a luxury e-commerce environment. The position uniquely combines statistical analysis, AI tool utilization, and clear communication to leadership to drive innovation in luxury re-commerce.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Retail Luxury Goods and Jewelry.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
- Analyze customer behavior across the e-commerce journey to identify trends that drive engagement, conversion, retention, and repeat purchases.
- Support development of statistical and machine learning models (personalization, product recommendation, customer segmentation, time-series forecasting, clustering, regression).
- Help build and maintain AI pipelines and LLM-enabled tools; use Claude, Gemini, and similar tools to accelerate SQL and Python development while validating outputs.
- Extract, clean, and transform large datasets; prepare features for model development and validation in collaboration with data engineers.
- Automate recurring reports, analyses, and data workflows; build dashboards and KPIs (Amazon QuickSight experience is a plus).
- Run causal analyses to measure the impact of site and personalization changes and recommend improvements.
- Deliver ad hoc analyses to Merchandising, Operations, Sales, and Customer Experience to answer business questions quickly and accurately.
- Present 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 similar plus 2+ years as a data analyst or in a data science role; OR Master's degree plus 1+ year relevant experience.
- Strong programming skills in Python (Pandas, NumPy, scikit-learn).
- Proficiency in SQL for querying and managing structured data.
- Foundational knowledge of machine learning and statistical techniques (regression, classification, clustering, recommender systems, time-series forecasting).
- Experience with exploratory data analysis, feature engineering, and model evaluation.
- Experience working with AI tools and pipelines (e.g., Claude, Gemini) and familiarity with LLM APIs / prompt engineering is a plus.
- Strong problem-solving skills, attention to validation, and ability to manage multiple stakeholders and priorities.
- Clear communicator who can explain technical results to non-technical audiences.
- Familiarity with causal inference, AWS (Redshift, Bedrock), Git/version control, and Amazon QuickSight are all pluses.
- Experience in e-commerce or retail is a plus.
Compensation & Location
- Pay Range: $90,000 - $110,000 (annual). Offered compensation will vary based on location, candidate qualifications, and experience. This range is provided in accordance with applicable pay transparency laws and is accurate as of the posting date.
- Location: Preference for hire in Carlsbad, CA. The Confidential Client may consider candidates in other U.S. locations where they employ, but this posting is anchored to Carlsbad, CA.
What We Offer
- 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 employer match
- Free life insurance and AD&D
- Long-term disability insurance
- Employee discount
Notes
- You will be employed by a Confidential Client. All references to the hiring company have been replaced to protect employer privacy.
- This posting follows applicable U.S. hiring laws. If you have a disability and require a reasonable accommodation to participate in the application or interview process, please contact the employer.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
Negotiate a higher salary! Check the salary ranges for this job type in your area.
View My Salary Range