Alteryx Logo

Alteryx

Lead Data Scientist

Posted 8 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in US
150K-200K Annually
Senior level
Remote
Hiring Remotely in US
150K-200K Annually
Senior level
The Lead Data Scientist will develop testing methodologies for AI systems, optimize data models, mentor junior staff, and communicate insights effectively while leading analytics projects.
The summary above was generated by AI

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

Interested? Learn more and apply today at alteryx.com/careers!

#LI-EM1

#LI-REMOTE

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.

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.

Top Skills

Alteryx
AWS
Azure
GCP
Langchain
Langgraph
Python
SQL
Tableau

Similar Jobs

3 Days Ago
In-Office or Remote
Kentucky, USA
142K-196K Annually
Mid level
142K-196K Annually
Mid level
Healthtech
The Lead Data Scientist transforms complex data into analytic solutions, develops data sets, creates reports, and advises executives under minimal supervision.
Top Skills: Computer ScienceData ScienceMathematicsStatistics
9 Days Ago
In-Office or Remote
California, USA
Senior level
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
Lead the Pricing and Promotion Optimization team, developing product strategies driven by data science, and ensuring alignment with business objectives through effective team leadership and stakeholder collaboration.
Top Skills: AzureData ScienceDatabricksProduct Management
16 Days Ago
Remote
2 Locations
8-13 Annually
Senior level
8-13 Annually
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Lead Data Scientist will design, develop, and deploy scalable GenAI solutions while leading projects, mentoring teams, and collaborating with clients to create analytical solutions that drive business value.
Top Skills: AIAzure AiAzure Blob StorageAzure Data FactoryAzure OpenaiCi/CdData ScienceDatabricksDocument IntelligenceMachine LearningMlflowPythonSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account