(DTC) E-commerce Data Scientist

We are looking for a highly analytical and business-minded Data Scientist to transform complex datasets into powerful growth strategies. In this role, you will leverage data to drive critical business decisions and optimize our e-commerce operations.

The ideal candidate bridges the gap between technical expertise and business impact—using machine learning, statistical analysis, and e-commerce metrics to enhance user experience, personalize recommendations, improve conversion rates, and ultimately drive revenue.

Key Responsibilities Advanced Analytics: Analyze large, complex datasets to uncover actionable insights and derive business-critical trends.

Predictive Modeling: Build, deploy, and scale robust recommendation engines, pricing models, and forecasting tools.

Experimentation: Design and execute rigorous A/B tests to validate new features and optimize the customer journey.

Customer Insights: Segment customer behavior to drive hyper-personalized marketing and product experiences.

Cross-Functional Collaboration: Partner closely with Product, Engineering, and Growth teams to ensure smooth data operations and implement data-driven solutions.

• Experience: 3+ years of professional experience in data science, with a proven track record in machine learning, predictive modeling, and statistical analysis.
• Technical Skills & Expertise
• Core Programming: High proficiency in Python, R, and SQL for advanced data manipulation and analysis.
• Machine Learning: Strong knowledge of ML libraries and frameworks, with demonstrated experience building and deploying scalable models (specifically for customer segmentation, dynamic pricing, or product recommendations).
• Experimentation: Hands-on expertise designing, executing, and analyzing A/B tests to optimize website features and marketing campaigns.
• Business Acumen & Communication
• Data Storytelling: Proven ability to extract actionable insights from large datasets and present findings clearly to business leaders via reports and dashboards.
• Problem Solving: Strong analytical skills with a knack for translating complex technical concepts into clear, digestible strategies for non-technical stakeholders.
• Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative field.

• Domain Expertise
• E-Commerce Background: Direct experience working within the e-commerce domain or supporting fast-paced digital retail operations.
• Retail Metrics: A deep understanding of core e-commerce metrics, including conversion rates, cart abandonment, customer retention, and Customer Lifetime Value (LTV).
• Data Infrastructure & Tools
• Data Engineering Collaboration: Experience partnering with data engineers to optimize the collection, storage, and processing of website interaction and CRM data.
• Advanced Technical Skills
• Natural Language Processing (NLP): Experience utilizing NLP techniques for customer sentiment analysis and feedback tracking.
• Cloud & BI Stack: Familiarity with cloud platforms (specifically Google Cloud Platform/GCP), specialized e-commerce analytics tools, and modern BI dashboarding software.

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