Lead Data Scientist

Meet the Moment with Alteryx

We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation. You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible. If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here. Alteryx is searching for a Lead Data Scientist. This position is remote-friendly.

Position Overview

We are seeking a Lead Data Scientist to join the AI Integrity Labs team within the AI organization. This role focuses on evaluating LLMs and agentic systems, developing robust testing methodologies, and driving telemetry analysis and associated frameworks. The ideal candidate will provide technical leadership in shaping next-generation AI-powered solutions that support our products. This includes designing evaluation frameworks, defining quality and performance metrics, and leveraging a strong understanding of agent architectures (e.g., LangChain, LangGraph) to support and enhance engineering efforts.

Primary Responsibilities

• Responsible for designing evaluation frameworks, testing methodologies, and telemetry analysis for agentic systems, with working knowledge of LangChain and LangGraph to support and enhance engineering efforts.
• 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 inform and support integration of AI solutions (e.g., Gemini, OpenAI, Azure AI).
• Stay current on advances in data science, machine learning, and generative AI.
• Mentor junior data scientists and engineers.
• Communicate clearly with stakeholders, presenting insights and recommendations.
• Apply statistical, econometric, and machine learning methods to generate actionable insights and support decision-making.
• 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.
• Mentor teams on data science best practices and contribute thought leadership through blogs or articles.
• Develop and deliver training on analytics tools and data science techniques (e.g., Alteryx, Tableau).
• Explore and apply new data science tools and methodologies to maintain innovation.

Qualifications

• Bachelor's degree required; advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Econometrics, Computer Science, or related field 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 working within both traditional SDLC and agile development environments.
• Expertise in a wide array of 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 in 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, with the ability to clearly articulate complex analytic concepts and results to business stakeholders.
• Excellent problem-solving and interpersonal skills, capable of independently managing multiple projects in a dynamic environment.

Compensation

Alteryx is committed to fair, equitable, and transparent compensation. Final compensation is determined by several factors, including but not limited to relevant work experience, education, certifications, skills, and geographic location. The salary range for this role in the United States is $160,910 - $177,050. Bonus payouts are based on individual and company performance.

In addition to base pay and bonus eligibility, this role includes clear forms of additional compensation, such as: A monthly Connectivity Plus stipend of $150 to support remote work-related expenses; An annual $200 home office reimbursement.

Alteryx offers a comprehensive benefits package designed to support your health, financial security, and overall well-being, including: Medical, dental, and vision coverage; 401(k) with company match; Paid parental leave, caregiver leave, and flexible time off; Mental health support and wellness reimbursement; Career development and education assistance.

About Applying

Interested? Learn more and apply today at alteryx.com/careers! Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences.

Benefits & Perks

Alteryx has amazing benefits for all Associates which can be viewed here. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Alteryx will consider for employment qualified applicants with arrest and conviction records. This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.

Key skills/competency

• Data Science
• Machine Learning
• Generative AI
• LLMs
• Agentic Systems
• Python
• SQL
• Statistical Modeling
• Cloud Computing
• Data Analysis