Associate Data Scientist

Company Intelligence

The company is listed as confidential in the eCommerce sector with a remote role based in Los Angeles, CA, making precise details unavailable from public sources. Search results highlight Global-e Online Ltd. (GLBE) as a leading match: founded in 2013, it specializes in cross-border e-commerce platforms, enabling brands to sell internationally with localized experiences, logistics, and payments. It raised $6.3M in Series A (2013, led by Apax Partners), went public on Nasdaq in May 2021 ($307.7M raised at $25/share), and acquired Borderfree for $100M in 2022 to expand reach. Global-e holds 15% market share in cross-border solutions, behind Shopify (20%) and Amazon (~25%), with Q4 2024 revenue up 42% YoY to $263M, signaling strong growth in global DTC e-commerce. No recent news on culture, values, or remote policies surfaced for this specific listing; eCommerce firms like Global-e typically emphasize innovation in international scaling, with remote/hybrid setups common in LA tech scenes. LA hosts eCommerce players like Absolute Web and Elogic Commerce (development agencies, 50-249 employees), suggesting a vibrant ecosystem for data roles.

Program Deep Dive

Specifics for this Associate Data Scientist program are not detailed in available sources, as the company is confidential. Typical eCommerce data science internships for 18-25-year-olds involve 6-12 month structures with rotational projects in analytics, ML for personalization, fraud detection, and demand forecasting—key for cross-border ops like inventory optimization and customer insights. Skills sought: Python/R, SQL, data visualization (Tableau/Power BI), basic ML (scikit-learn), stats; eCommerce-specific like A/B testing, cohort analysis, and handling large-scale transaction data. Daily responsibilities: Cleaning/analyzing sales data, building dashboards for revenue trends, predictive modeling for churn/logistics, collaborating with product teams. Learning: Hands-on projects, exposure to real-time global data pipelines. Mentorship: Likely paired with senior data scientists; training in cloud tools (AWS/GCP). Progression: Top performers convert to full-time analyst/scientist roles, with paths to senior data scientist in 2-3 years.

Application Success Guide

Requirements: Resume, cover letter tailored to eCommerce data experience; portfolio/GitHub with projects (e.g., sales prediction Kaggle); bachelor's in CS/Stats/Data Science (or pursuing); GPA 3.0+. Deadline: Not specified—apply ASAP via https://www.builtinla.com/jobs/remote/data-analytics/data-science, as LA tech postings fill quickly. Step-by-step process:

1. Submit via BuiltInLA link (resume + LinkedIn).
2. Online assessment: SQL queries, Python coding (e.g., pandas manipulation), stats problems.
3. Video interview: Behavioral + technical.
4. Live interviews: 3-4 rounds (case study, ML modeling). Common questions: "Design a model to predict cart abandonment in cross-border sales." "SQL: Find top 10% customers by lifetime value." "Explain gradient boosting for recommendation systems." Assessments: Case studies on eCommerce metrics (e.g., optimize logistics with data); no full assessment centers noted. Standout candidate: GitHub with eCommerce projects (e.g., Shopify API analysis), internship experience, quant coursework.

Insider Tips

• Interviews: Expect LA/eCommerce focus—discuss cross-border challenges like currency conversion data or localization metrics; they value problem-solving > perfection.
• Skills priority: Technical (60%): SQL/Python/ML; soft (40%): Communication for stakeholder dashboards, adaptability to fast-paced growth.
• Industry knowledge: Cite trends like 42% revenue growth in cross-border, competitors (Shopify/Amazon), metrics (GMV, conversion rates).
• Questions to ask: "How does the data team influence product decisions for international expansion?" "What datasets power your fraud detection?" Shows interest in their ~15% market niche.
• Red flags: Generic resumes, weak SQL (practice LeetCode), no eCommerce examples, poor storytelling of projects.

Practical Information

Salary/stipend: Associate Data Scientist interns in LA eCommerce: $25-40/hour ($50K-80K annualized); remote may adjust to $22-35/hour. Full-time entry: $90K-130K base.
Benefits: Standard for tech interns—health stipends, learning budgets, equity for converts; remote perks like home setup allowance.
Duration/start: 3-12 months, starts quarterly (e.g., Jan/May/Sep); flexible for students.
Networking: Leverage BuiltInLA events, LA startup incubators (e.g., IdeaLab in Santa Monica for eCommerce/mobile). Alumni often at Global-e/Shopify—connect via LinkedIn with "Associate Data Scientist" + "eCommerce". Join LA Data Science Meetups for insider referrals.