Alteryx Logo

Alteryx

Lead Data Scientist

Reposted 7 Days Ago
Remote
Hiring Remotely in US
150K-200K Annually
Senior level
Remote
Hiring Remotely in US
150K-200K Annually
Senior level
The Sr. Data Scientist will design, develop, and deploy AI models and tools, mentor teams, and drive data-driven insights while collaborating with cross-functional teams.
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.

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.

Similar Jobs

16 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
23 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
5 Days Ago
Remote
United States
Senior level
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Generative AI
As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.
Top Skills: AirflowBigQueryDbtGitLookerPythonSQL

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account