Applied Scientist
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Job Summary
Job Description
Role Overview
As an Applied Scientist you will help design and build intelligent systems that turn data machine learning and LLMs into measurable business impact. You will work across the full lifecycle of applied AI problems from identifying opportunities and formulating hypotheses to developing models and evaluation frameworks and iterating based on real-world outcomes.
You will partner closely with cross-functional stakeholders to understand user needs define success criteria and translate complex technical approaches into actionable insights. Your work will sit at the intersection of science product and engineering with a strong focus on delivering high-impact solutions that improve customer experience and business performance.
Key Responsibilities
Own business-relevant metrics such as churn reduction AI attach rate and seller productivity and use data and scientific thinking to identify opportunities for improvement
Develop a deep understanding of users their workflows and pain points and use those insights to inform what should be built next
Define hypotheses success criteria and evaluation approaches for AI and ML systems
Design build and evaluate LLM-powered applications including agents RAG systems text-to-SQL solutions and recommendation engines
Establish robust feedback loops for intelligent systems by instrumenting measuring and learning from user and business outcomes
Partner with engineers to move prototypes into production ensuring scientific rigor and practical usability
Build and maintain Python-based services and APIs that support AI-driven applications
Collaborate on the data infrastructure that powers AI products including Snowflake dbt and Airflow
Communicate findings trade-offs and recommendations clearly to both technical and non-technical stakeholders
Stay current with advances in LLMs agent architectures evaluation frameworks and AI-assisted development workflows
What We Are Looking For
Education & Experience
3 years of experience in Data Science Machine Learning Applied Science or a related field
BA/BS in Computer Science Data Science Statistics Mathematics or a related discipline
Advanced degree is highly preferred
Business Acumen & User Focus
Experience owning business outcomes through intelligent systems
Ability to identify high-impact opportunities and form informed opinions on what to build next
Strong user focus: you talk to users understand their workflows and let those insights guide your technical decisions
Deep understanding of the data insights action workflow and how to measure whether systems are driving outcomes
Track record of building trusted partnerships with business stakeholders
Technical Expertise
Hands-on experience building and evaluating ML or LLM-powered applications
Strong understanding of experimental design evaluation frameworks and model performance measurement
Experience with agent architectures prompt engineering or similar applied AI techniques
Strong Python programming skills for scientific experimentation and production-oriented implementation
Strong SQL skills and experience with cloud data warehouses
Familiarity with backend API design and modern web application concepts
Nice to have: experience with Snowflake dbt Airflow or similar data infrastructure tools
Nice to have: experience with AI-assisted development workflows such as Claude Code Cursor Copilot or similar
Nice to have: experience with frontend technologies and UX design particularly React
Communication & Collaboration
Ability to clearly explain scientific concepts trade-offs and recommendations to technical and non-technical audiences
Experience working cross-functionally with engineers analysts product leaders and business stakeholders
Strong collaboration skills and a continuous learning mindset
Why You Will Thrive Here
Opportunity to work at the intersection of applied science AI and software engineering
A chance to shape intelligent LLM-powered products with measurable business impact
An environment that values experimentation ownership and continuous improvement
The opportunity to work on high-visibility high-impact projects with strong cross-functional collaboration
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
As part of our commitment to fairness and transparency we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer and were proud of our ongoing efforts to foster global diversity equity & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race color religion national origin age sex gender gender identity gender expression sexual orientation marital status medical condition ancestry disability military or veteran status or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application complete any pre-employment testing or otherwise participate in the employee selection process please send an e-mail to with your specific accommodation request.
Required Experience:
IC
