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Data Scientist

New York, United StatesFull-timePosted Oct 9, 2026

Job description

Rel. Pro is a B2B Sales Intelligence Platform with coverage of 150 million global business decision makers across 7 million companies. Our customers use Rel. Pro 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 Rel.

Pro 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.

Description copied from RelPro's careers page. Read the full posting before you apply.

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