Lead Data Scientist, Alteryx
$160.9-177.1k
+ Bonus based on individual and company performance
Analytics & data science automation
Open for applications
Analytics & data science automation
1001+ employees
Open for applications
$160.9-177.1k
+ Bonus based on individual and company performance
1001+ employees
Company mission
To put data and AI to work for the Intelligent Enterprise.
Role
Who you are
- 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
- Find yourself checking a lot of these boxes but doubting whether you should apply? If you meet some of the requirements and you share our values, we encourage you to apply
What the job involves
- 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
- 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
- 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
Our take
Alteryx brings a suite of tools to automate data driven processes on a large scale, massively speeding up data based procedures. The system also uses AI to analyse data and provide insights to enable rapid decision making.
What Alteryx does differently from other data science tool developers is focus on the accessibility of its software, taking a low code/no code approach. This allows for greater collaboration between people with differing skill sets, speeding up processes for its users.
The business has made some strategic partnerships over time, most notably with Snowflake and Blue Prism. And with AI becoming more, Alteryx is projected to make major inroads in its market as more companies turn to automated solutions for data analysis.
Steph
Company Specialist at Welcome to the Jungle
Insights
51% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2015
$85m
SERIES C
Oct 2014
$60m
SERIES B
Total funding: $217m
Company HQ
Irvine Business Complex, Irvine, CA
Leadership
Dean Stoecker
(Executive Chairman)Dean began his career as a Sales Manager at D&B and Strategic Mapping for 6 years, before working as CEO of SRC for 13 years. In 1997, he co-founded Alteryx, serving as CEO from 2010, and has been Executive Chairman since 2020.
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