Alteryx, Inc. logo

Lead Data Scientist

Job Overview

Location

US - Remote

Job Type

Full-time

Category

Data Science

Date Posted

April 24, 2026

Full Job Description

📋 Description

  • • As a Lead Data Scientist on Alteryx’s AI Integrity Labs team, you will drive the evaluation and reliability of next-generation AI systems, ensuring that large language models and agentic architectures perform with accuracy, fairness, and robustness—directly impacting the trustworthiness of AI-powered products used by enterprises worldwide.
  • • Your day-to-day responsibilities include designing evaluation frameworks and telemetry analysis for agentic systems using LangChain and LangGraph, building and optimizing data models for generative AI, collaborating with product and engineering teams to integrate AI solutions (such as Gemini, OpenAI, and Azure AI), mentoring junior data scientists, and communicating complex insights to stakeholders to support data-driven decision-making.
  • • Alteryx is a leader in analytics automation and AI innovation, empowering organizations to unlock insights from data through intuitive, code-friendly platforms. The AI Integrity Labs team sits at the forefront of responsible AI development, focusing on rigorous testing, performance measurement, and ethical deployment of AI technologies across the company’s product suite.
  • • In this role, you will deepen your expertise in generative AI evaluation, agent architectures, and MLOps at scale, while growing as a technical leader through mentorship, thought leadership (e.g., blogs, training), and shaping the future of AI quality and reliability in a high-impact, remote-friendly environment.

Skills & Technologies

Python
AWS
Azure
GCP
Data Science
Senior
Remote
$160k-177k
Degree Required

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Alteryx, Inc. logo
Alteryx, Inc.
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About Alteryx, Inc.

Alteryx, Inc. provides a self-service data analytics platform that enables organizations to prepare, blend and analyze data from multiple sources without coding. Its software combines data preparation, geospatial analytics and predictive modeling in a drag-and-drop workflow interface, targeting business analysts and data scientists. Founded in 1997 and headquartered in Irvine, California, the company serves finance, healthcare, retail and public-sector clients worldwide, helping them automate analytics processes and accelerate data-driven decisions.

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