Data Engineer


Date listed

1 month ago

Employment Type




We are looking for ONE Data Scientist / Data Engineer to analyze a dataset of Amazon product listings and create a Python-based sales estimator tool. The short-term goal is to assess the viability of the dataset for creating a reliable sales estimation model for Amazon products. Ideally, we want to have a good determination of whether the current data points are enough and the primary problem will be gathering more of the data. The ultimate goal is to understand and predict competitor sales volumes on Amazon and Walmart with high accuracy in the long term. The dataset is detailed but limited to a sample size of 1,500 - 2,000 products.

Hours: No Set Schedule (You Manage Your Time)

YOU MUST have these skills:
- Must be a self starter.
- Perfect text communication skills.
- Extreme attention to detail.

Job Summary:

Key Data Points in Dataset:
  • Product Information: Title, ASIN, Image URL, Dimensions
  • Sales Metrics: Price, Best Sellers Rank (BSR), Total Units Sold, Historical Sales Data
  • Inventory Metrics: Fulfillment by Amazon (FBA) data, Profit margins
  • Customer Engagement: Number of Reviews, Review Ratings, Questions, Review Rate of Increase
  • Market and Seller Details: Seller Name, Seller Type, Number of Sellers
  • Trends and Growth: Sales Trends over Time, Total Sales Amount, Growth Metrics
  • Size: 1,500 - 2,000 Amazon products

  • Perform an analysis of the provided dataset to understand the metrics available.
  • Evaluate the dataset's potential for developing an accurate sales estimation model.
  • Develop and validate a Python tool that leverages the dataset to estimate Amazon product sales.
  • Ensure the model can be improved over time with additional historical data.
  • Document the analysis and model-building process, highlighting insights and potential limitations.
  • Ensure the model can be integrated into a web application backend of some sort (VPS or Serverless environment)

  • Strong background in data analysis and statistical modeling.
  • Proficiency in Python, with experience in pandas, NumPy, scikit-learn, and other data analysis tools.
  • Experience in predictive modeling and machine learning algorithms.
  • Knowledge of Amazon's marketplace, sales metrics, and e-commerce data.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills for reporting findings and recommendations

P.S. This is NOT some outsourced job. This is a career where you can grow with us. We're looking for someone who can not only execute but also contribute ideas that will move us forward.

Compensation: Negotiable, based on project/fixed rate or equity. 

Please share any relevant experience or other roles that you believe will make you successful in this position.

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