New
2 weeks ago

Job Summary

We are looking for a Data Engineer who is inspired, customer-focused, and who will be dedicated to crafting solutions that will redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers.

  • Minimum Qualification:Degree
  • Experience Level:Mid level
  • Experience Length:3 years

Job Description/Requirements

Responsibilities:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.




Requirements:

  • BSc in Statistics, Mathematics, Computer Science, or another quantitative field, and is familiar with the following software/tools: C, C++, Java.
  • We are looking for someone with a minimum of 3 years of experience manipulating data sets and building statistical models.
  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.

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