[Hiring] Lead Data Scientist @Alteryx

Role Description

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.

• 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.

Requirements

• 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.
• A monthly Connectivity Plus stipend of $150 to support remote work-related expenses.
• An annual $200 home office reimbursement.

Benefits

• 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.