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Customer Facing Data Scientist

Explorium is on a mission to transform the way organizations use data to build their unique competitive advantage.

We are redefining how companies find relevant data for AI by automatically discovering the most predictive datasets and features across thousands of sources, on the web and in the enterprise. The Explorium Data Science Platform tackles the toughest challenges in the predictive model building process – data integration, data enrichment and feature engineering – enabling data specialists to build machine learning models based on the best data possible. Combining their own proprietary data assets with the best external sources in the world is the competitive edge organizations need to build the predictive models that will drive their future growth.

Job Description

We are looking for a talented data scientist with a true passion for the field and a hacker mindset to join our sales engineering commando unit. You’ll be working with our clients and a team of veteran data scientists to solve tough, real world customer business problems using cutting edge technologies. If you are someone that thrives in a fast-paced environment where being self-directed, creative and determined are a requirement, we would love for you to join us.

Who You Are

  • Like to find, evaluate and integrate with APIs and web technologies to solve customer business problems quickly
  • Love experimenting with new ideas and technologies
  • Like to explore and manipulate data using Python frameworks such as jupyter and pandas
  • Enjoy a fast-paced customer-oriented sales environment, where your ability to quickly develop proof-of-concept technologies directly impacts company growth

Skills And Qualifications

  • At least 2 years of experience as a Data Scientist
  • Working knowledge in Python/Pandas/Scikit-learn
  • Experience working with Web APIs
  • Ability to do online research on your own
  • Analytical with problem-solving skills
  • Commando / Hacker / Get it done mentality
  • Experience working with customers in pre/post-sales environment – Advantage
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