(DTC) E-commerce Data Scientist

We’re looking for a highly analytical and business-minded Data Scientist for E-commerce to leverage data to derive insights that drive business decisions and optimize e-commerce operations. This role requires someone who can manage multiple data priorities, build predictive models, design robust experiments, and transform complex datasets into growth strategies. The ideal candidate has a strong understanding of machine learning, statistical analysis, and e-commerce metrics to enhance user experience, improve conversion rates, personalize recommendations, and increase revenue. Responsibilities include analyzing large datasets, building and deploying recommendation and pricing models, designing A/B tests, segmenting customer behavior, and collaborating with cross-functional engineering and product teams to ensure smooth data operations.

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative field.
• 3+ years of professional experience in data science, with a proven track record in machine learning, predictive modeling, and statistical analysis.
• Proven ability to extract actionable insights from large datasets and present findings to business leaders via reports and dashboards.
• Demonstrated experience building and deploying scalable machine learning models for customer segmentation, dynamic pricing, or product recommendations.
• Expertise in designing, executing, and analyzing A/B tests to optimize marketing campaigns and website features.
• Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.
• Strong knowledge of machine learning libraries and frameworks to build and scale predictive models.
• Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.

• Direct experience working within the e-commerce domain or supporting fast-paced digital retail operations.
• Experience collaborating with data engineers to optimize the collection, storage, and processing of website interaction and CRM data.
• Experience with natural language processing (NLP) for customer sentiment analysis.
• Deep understanding of core e-commerce metrics like conversion rate, cart abandonment, customer retention, and customer lifetime value (LTV).
• Knowledge of cloud platforms (GCP), specialized e-commerce analytics tools, and modern BI dashboards.

• Python
• R
• SQL
• Scikit-learn
• TensorFlow
• PyTorch
• Hadoop
• Spark
• Tableau
• Power BI
• Google Cloud Platform (GCP)
• Looker
• Northbeam
• Shopify Analytics
• Shopify
• Magento