Lead Data Scientist

Meet the Moment with Alteryx. Data, automation, and AI are rapidly becoming central to business decisions. Alteryx leads this transformation, and we’re seeking a Lead Data Scientist to join the AI Integrity Labs team, evaluating large language models and agentic systems.

This remote‑friendly role focuses on designing evaluation frameworks, testing methodologies, and telemetry analysis for agentic systems. The Lead Data Scientist will provide technical leadership, shape AI‑powered solutions, and collaborate closely with product and engineering teams.

• Design evaluation frameworks and testing methodologies for agentic systems.
• Build, validate, and optimize data models focused on generative AI and large language models.
• Create and refine methods to measure AI model and agent performance, quality, and impact.
• Collaborate with product and engineering teams to integrate AI solutions such as Gemini, OpenAI, and Azure AI.
• Stay current on advances in data science, machine learning, and generative AI.
• Mentor junior data scientists and engineers.
• Communicate insights and recommendations clearly to stakeholders.
• Apply statistical, econometric, and machine learning methods to generate actionable insights.
• Identify, integrate, and leverage key data sources to enhance analytics.
• Develop scalable data structures and analytic products.
• Lead end‑to‑end analytics and modeling projects, including data gathering, feature engineering, model development, evaluation, and monitoring.
• Provide insights to encourage data‑driven decision‑making throughout the organization.
• Contribute thought leadership through blogs or articles and develop training on analytics tools.
• Explore and apply new data science tools and methodologies to maintain innovation.

• Bachelor’s degree required; advanced degree (Master’s or Ph.D.) strongly preferred.
• 7+ years of professional experience as a Data Scientist, preferably in a software or SaaS environment.
• Strong programming skills in Python and SQL, including familiarity with advanced analytics libraries and frameworks.
• Experience with in both traditional SDLC and agile development environments.
• Expertise in statistical methods, econometrics, machine learning algorithms, artificial intelligence, and predictive analytics.
• Proven experience developing scalable analytic data strategies and robust analytic products.
• Proficiency with visualization tools such as Tableau and experience with business analytics platforms like Alteryx.
• Familiarity with data pipelines, ETL processes, cloud databases, data warehouses (e.g., Snowflake), and data lakes.
• Experience deploying analytics solutions in cloud environments (GCP, AWS, Azure).
• Strong communication skills to articulate complex analytic concepts to business stakeholders.
• Excellent problem‑solving and interpersonal skills, managing multiple projects in a dynamic environment.

Salary Range (U.S.): $160,910 – $177,050. Bonus payouts are based on individual and company performance. Additional compensation includes a monthly Connectivity Plus stipend of $150, an annual $200 home office reimbursement, and a comprehensive benefits package covering medical, dental, vision, 401(k) with company match, paid parental and caregiver leave, flexible time off, mental health support, wellness reimbursement, and career development assistance.

Alteryx, Inc. is an Equal Employment Opportunity Employer. Unsolicited third party/agency profiles and resumes will not be considered.