Role: Data Scientist
Hours: 9am - 6pm Eastern Time (Remote)
USD Salary: Negotiable based on experience up to $2,200.
The Data Scientist will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable insights for marketing, operations, and product strategy. This role involves developing predictive models, automating reporting pipelines, and partnering with cross-functional teams to improve customer retention, optimize ad spend, and streamline operations.
The ideal candidate is passionate about data-driven growth, skilled in statistical analysis and machine learning, and experienced in working with eCommerce datasets.
Responsibilities
- Analyze large datasets to identify trends, patterns, and actionable business insights.
- Develop predictive and forecasting models for sales, demand, and customer behavior.
- Partner with marketing, operations, and finance teams to support data-driven decision-making.
- Design and implement A/B tests to evaluate marketing campaigns, product changes, or pricing strategies.
- Create and maintain data dashboards and automated reports to track business KPIs.
- Build and maintain ETL processes to collect and clean data from multiple sources (e.g., Shopify, Google Analytics, CRM, etc.).
- Apply machine learning and statistical techniques to solve complex business problems.
- Work with engineers and analysts to ensure data accuracy, consistency, and reliability.
- Communicate findings and recommendations to stakeholders in clear, actionable ways.
- Stay up to date with emerging data science tools, technologies, and methodologies.
