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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