
Part-Time Data Scientist
1 week ago
Objective: Find a data-driven expert who will extract, analyze, and model data from our Shopee and Lazada storefronts. The primary goal is to move from intuition-based decisions to data-backed strategies that increase real profitability, optimize marketing spend, and improve customer targeting.
Key Responsibilities:
Data Extraction & Integration:
Utilize Lazada and Shopee API access (or approved data scraping tools) to extract sales, product, customer, and advertising data.
Clean, structure, and integrate this data into a centralized database or dashboard for a single source of truth.
Profitability Analysis:
Build a model to calculate the "Real Profit per Order" by factoring in:
- Product Cost (COGS)
- Selling Price o Platform Commission Fees
- Payment Gateway Fees
- Shipping Fees (paid by seller and customer)
- Promotional Costs (voucher discounts, coins discounts, flash sale costs)
Marketing Costs (Cost of Sponsored Ads used to acquire that sale).
Promotional & Voucher Optimization:
Analyze the historical performance of different discounts and vouchers.
- Build a model to determine the optimal discount level that maximizes conversion rate without eroding profitability.
Identify which voucher types (e.g., flexbundle discounts, % off, voucher, cashback) are most effective for different customer segments and products.
Advertising Spend (SPP/CPAS) Optimization:
Analyze the performance of Sponsored Ads campaigns.
- Determine the optimal bid amounts for keywords and products based on target Acquisition Cost (CAC) and Return on Ad Spend (ROAS).
Build a model to recommend daily budgets and bidding strategies to maximize profitable sales volume.
Customer Segmentation & Personalization:
Perform RFM (Recency, Frequency, Monetary) analysis on the customer base.
- Use clustering techniques (e.g., K-Means Clustering) to identify distinct customer groups (e.g., "Loyal brand Lovers," "Discount Seekers," "One-Time Gift Buyers").
- Recommend targeted marketing strategies and the most effective type of voucher or promotion for each segment to increase lifetime value (LTV).
Required Skills & Experience (Non-Negotiable):
Technical Skills:
- Python/R Proficiency: Expert-level skills in data manipulation (Pandas, NumPy), statistical analysis (SciPy, Statsmodels), and machine learning (Scikit-learn).
- SQL: Ability to write complex queries to extract and manage data from databases.
- Data Visualization: Experience with tools like Tableau, Power BI, or Looker Studio to create clear, actionable dashboards for you.
- API Integration: Experience working with e-commerce APIs (Lazada/Shopee API experience is a massive plus).
E-Commerce & Business Acumen:
- Must have direct experience analyzing Lazada and Shopee seller data. They should understand the platform's fee structure, marketing tools, and data limitations.
- Strong understanding of e-commerce KPIs: Conversion Rate (CVR), Average Order Value (AOV), Customer Acquisition Cost (CAC), Return on Ad Spend (ROAS), and Lifetime Value (LTV).
- Ability to translate complex data findings into clear, actionable business recommendations.
Soft Skills:
- Excellent communication skills in English to explain insights to a non-technical manager.
- Proactive and self-directed, able to work remotely with minimal supervision.
- Problem-solving mindset with a focus on driving profitability.
Nice-to-Have Skills:
Experience with time-series analysis for forecasting demand and sales. Remuneration based on experience
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