Data Scientist eCommerce Freelance

🌍 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 decisionmaking across pricing, product strategy, logistics, and customer analytics. Owning the endtoend process from data exploration to model deployment.

✅ What Youll 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 lowmargin, highvolume product traps
    
  • Create scoring systems to assess product profitability and pricing effectiveness
    

  • Customer Segmentation & LTV Forecasting

    • Apply clustering algorithms (e.g., KMeans, 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 dropoff rates and recommend UX or performance improvements
        

      • Campaign Effectiveness & Promotion Analytics

        • Measure the impact of discount campaigns and evaluate cannibalization effects
          
        • Analyse shortterm vs. longterm tradeoffs 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 preemptive actions

          • Forecasting & Demand Modelling

            • Implement and maintain timeseries models for inventory and sales forecasting
              

            • Tooling & Automation

              • Develop reusable scripts and tools in Python for analysis and reporting
                
              • Optimize data pipelines for realtime or scheduled decision support
                

              • CrossTeam Collaboration

                • Partner with Ops, Product, Marketing, and Finance teams
                  
                • Act as a strategic thought partner, translating data into decisions
                  
                • Communicate technical insights clearly to nontechnical 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
                    • Parttime (2–3 days per week)
                    • Remote

                    • If youre passionate about turning data into impact, and thrive in a fastpaced, crossfunctional environment — we’d love to hear from you.

                      Apply now and help shape the future of datadriven eCommerce ✨