Data Product Developer

Explorium is a cutting-edge data science company that has recently closed a Series C round bringing their total funding to $127 million.

Explorium offers a first-of-its-kind data science platform powered by augmented data discovery and feature engineering. By automatically connecting to thousands of external data sources and leveraging machine learning to distill the most impactful signals, the Explorium platform empowers data scientists and business leaders to drive decision-making by eliminating the barrier to acquiring the right data and enabling superior predictive power.

We are looking for a talented Data Developer with a passion for data and complex problems.

Responsibilities:

  • Own, design, implement, test, deploy and maintain microservices and ETLs that turn data into our data products (end-to-end).
  • Engineer Features and transforms data into analytical insights with various data science tools.
  • Translate business needs into technical requirements.
  • Create unique product-driven business indicators using machine learning techniques.
  • Hold yourself to a high standard when working with production systems. We take pride in our tests, monitoring & alerting abilities just as we do with our systems.
  • Identify gaps in data consumption and support issue resolution.
  • Own and provide data development tools for internal use.
  • Evaluate data from different sources and vendors.

Requirements:

  • 1-2 years of relevant experience as a Data Scientist/Data Engineer/BI developer.
  • +2 years of SQL & production level python development - a must.
  • Very good data analysis and system evaluation skills, defining experiments to lead product decisions.
  • BSc or BA in Computer Science or a similar degree, or alumni of an IDF technology unit
  • Experience applying algorithmic solutions to data-oriented problems and practical experience with machine learning - big advantage.
  • Data processing / Web scraping experience - big advantage.
  • Experience with working with various database engines (relational, document storage, key-value) - big advantage.
  • Experience with AWS/GCP - advantage.
  • Familiarity with Jenkins, AirFlow, and docker - advantage
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