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Salary
≈ $114k – $247k per year (Estimated)
Location
In office (New York)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 13, 2026.

Overview
Company
Impact
Profile match
Financial & professional services teams win more business with company and exec data, buyer intent, & relationship intelligence, CRM enrichment. Learn.

RelPro is a B2B Sales Intelligence Platform with coverage of 150 million global business decision makers across 7 million companies. Our customers use RelPro as an integrated part of their Sales & Marketing workflow to find new leads, learn more about them and keep tabs on them. Several of the Fortune 100 are already using RelPro in their businesses and several more are in the process of becoming customers. We are constantly developing and evolving our product to meet the needs of our customer base.

We are looking for a big data enthusiast and machine learning expert who will have a significant impact on the success of our data science projects, delivering highest quality data, ultimately improving business processes and products with Data Science solutions.

Role & Responsibilities:

You will help us sort, analyze and deliver relevant information from unstructured data gathered and transform it into actionable items with machine learning. You will need to rapidly prototype various algorithmic implementations and test their efficacy using appropriate experimental design and hypothesis validation. You will report to Head of Technology and work with engineers and other teams to solve challenging problems with your data science skills.

Requirements

  • Hands-on machine learning experience and exposure to NLP
  • Experience using machine learning, statistical modeling, and other quantitative techniques to solve business problems.
  • Ability to crunch, process, and prepare large data sets.
  • Possess understanding of and ability to communicate statistics to experts and non-experts.
  • Experience building production data pipelines.
  • Experience with one or more of: C++/C#, Java, Python, SQL
  • Familiarity with building on one or more of: Spark, Hadoop, AWS, Azure, Google Cloud
  • Bachelor's degree or equivalent work-experience preferred.
  • SasS experience preferred.
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