We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Data Scientist eCommerce - Freelance at Netenders. Location Information: Fully Remote. . 🌍 Remote | Freelance | Flexible Hours. We’re looking for a . Data Analyst. who can turn complex datasets into clear, actionable strategies that drive real business outcomes. You’ll be at the heart of decision-making across pricing, product strategy, logistics, and customer analytics. Owning the end-to-end process from data exploration to model deployment.. ✅ What You'll Do . - Advanced Pricing & Elasticity Modelling. . Build predictive models to estimate price elasticity by country, product, and customer segment. . Simulate pricing scenarios and develop recommendation systems for dynamic pricing. . Quantify revenue and margin impact of pricing strategies. . - Product & Margin Intelligence. . Develop machine learning frameworks to detect low-margin, high-volume product traps. . Create scoring systems to assess product profitability and pricing effectiveness. . - Customer Segmentation & LTV Forecasting. . Apply clustering algorithms (e.g., K-Means, DBSCAN) for behavioural segmentation. . Build models to forecast Customer Lifetime Value (LTV) and churn. . Translate segmentation into marketing and CRM strategies. . - Funnel Optimization & Conversion Prediction. . Analyze customer behavior across the funnel (visit → cart → checkout). . Model drop-off rates and recommend UX or performance improvements. . - Campaign Effectiveness & Promotion Analytics. . Measure the impact of discount campaigns and evaluate cannibalization effects. . Analyse short-term vs. long-term trade-offs in promotional strategies. . - Logistics, Transport & Returns Analysis. . Predict delivery delays and return probability by product and carrier. . Recommend logistics improvements based on cost and satisfaction metrics. . Analyse drivers of returns (e.g., sizing, bundling) and propose pre-emptive actions. . - Forecasting & Demand Modelling. . Implement and maintain time-series models for inventory and sales forecasting. . - Tooling & Automation. . Develop reusable scripts and tools in Python for analysis and reporting. . Optimize data . pipelines. for real-time or scheduled decision support. . - Cross-Team Collaboration. . Partner with Ops, Product, Marketing, and Finance teams. . Act as a strategic thought partner, translating data into decisions. . Communicate technical insights clearly to non-technical stakeholders. . ✅ Your Profile. . 3+ years of experience in Data Science (ideally in eCommerce or retail). . Strong command of . Python. (Pandas) and . SQL. . Experience with . Ruby on Rails. is a strong plus. . Skilled in . statistical modelling. , . machine learning. , and . predictive analytics. . Experience working with large datasets (BigQuery, Snowflake, etc. is a plus). . Proficient with . BI. tools such as . Looker Studio. . Fluent in English (French is a plus). . ✅Contract Details. . Freelance. . Part-time. (2–3 days per week). . Remote. . . If you're passionate about turning data into impact, and thrive in a fast-paced, cross-functional environment — we’d love to hear from you.. Apply now and help shape the future of data-driven eCommerce ✨. .