Overview
Join to apply for the Data Scientist eCommerce - Freelance role at Netenders
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.
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
Additional Information
* Seniority level: Not Applicable
* Employment type: Other
* Job function: Engineering and Information Technology
* Industries: Apparel & Fashion
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