Data Scientist

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IV.AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

IV. AI is an enterprise AI company that builds decision-intelligence and data-orchestration software to turn messy, fragmented datasets into trustworthy, actionable insights. Its platform includes Magnet (data discovery and cleaning), Toaster (modeling, predictions, and anomaly detection), and Scissors (no-code front-end for embedding AI insights into workflows and existing stacks such as CRMs and CDPs). IV. AI emphasizes agentic AI, model traceability and auditability, data governance, and integration with customers' existing infrastructure, and offers solutions for entertainment & media intelligence, market intelligence, location/POI verification, and GEO/AEO commerce signals.

📋 Description

• Your primary responsibility is to deliver quality production-ready code, data and insights. • Execute on defined tasks and contribute to solving problems with defined solutions. • Primarily focus on improving your craft as a Data Scientist • Build SQL queries to calculate specific metrics • Prototype data pipelines on Jupyter • Write clear and concise reports for client deliverables, and documentation for internal tools • Analyze and present datasets or results with simple methods • Understand the reasoning behind the team's design decisions to verify and debug implementations of the designs

🎯 Requirements

• 2+ years writing queries in SQL or running models in Python/Jupyter • 2+ years experience with statistical analysis • Write and speak clearly, communicate empathetically • High standard of excellence for your work • Attention to detail: spotting typos in text and errors in data • Bonus Points: Data visualization beyond pies and bars (e.g. box and whiskers, histograms, violin plots) • Github: pull, push, merge, PR, cherry-picking, issue tracking • Regular Expressions • PostgreSQL 12+ • An example where we can see your writing style (in English), ideally data-related