Data Scientist (eCommerce)

TL;DR

Data Scientist (eCommerce): Collecting, analyzing, and interpreting large datasets to generate actionable insights for marketing, operations, and product strategy with an accent on predictive modeling, A/B testing, and ETL automation. Focus on optimizing customer retention, ad spend, and streamlining eCommerce operations.

Location: Remote (Work from anywhere). Working hours: 9am - 6pm Eastern Time.

Company

hirify.global is a data-driven organization focused on leveraging analytics to drive success and solve challenges in the rapidly evolving eCommerce market.

What you will do

• Analyze large datasets to identify business trends, patterns, and actionable insights.
• Develop predictive and forecasting models for sales, demand, and customer behavior.
• Design and implement A/B tests to evaluate marketing campaigns and pricing strategies.
• Build and maintain ETL processes to clean and collect data from Shopify, Google Analytics, and CRMs.
• Create and maintain automated reports and data dashboards to track business KPIs.
• Partner with marketing, operations, and finance teams to support data-driven decision-making.

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 2–5 years of experience as a Data Scientist or Data Analyst, preferably in eCommerce or retail.
• Strong proficiency in Python or R for data analysis and modeling.
• Expertise in SQL and data manipulation within relational databases.
• Hands-on experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of statistics, hypothesis testing, and regression modeling.

Nice to have

• Experience with eCommerce platforms such as Shopify, Magento, or Amazon Seller Central.
• Familiarity with customer segmentation, LTV prediction, and churn modeling.
• Understanding of digital marketing analytics, including Meta Ads, Google Ads, and GA4.
• Experience with cloud data tools like BigQuery, Snowflake, or AWS Redshift.

Culture & Benefits

• Full remote work flexibility with a global team.
• Strong emphasis on work-life balance.
• Opportunity to shape your own role and grow with the company.
• Innovative culture focused on leveraging data to solve complex business challenges.

Hiring process

• Candidates must read and agree to the company's Confidentiality and Non-Circumvention Agreement.