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About the Role

Serve as a technical and strategic member of the Enterprise Machine Learning team, driving the development and deployment of advanced data science and machine learning solutions, especially those leveraging LLMs and deep learning. Architect and scale ML systems, foster cross-functional collaborations, and ensure business value in technical decisions. Translate complex analytical approaches into actionable insights and stakeholder-friendly narratives.

Responsibilities

Drive design, development, and deployment of advanced ML and AI solutions, emphasizing LLMs, deep learning, and statistical modeling.
Build scalable, robust data science systems, from data ingestion to model deployment and monitoring, meeting enterprise performance, reliability, and compliance standards.
Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to define requirements and deliver impactful solutions.
Articulate complex technical concepts to non-technical partners, bridging technical and business operations.
Drive adoption of MLOps best practices, including CI/CD, containerization, orchestration, observability, and reproducibility.
Oversee and enhance integrity, security, and compliance of data science workflows and contracts.
Stay abreast of industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions.
Foster technical excellence and ensure alignment with business objectives.

Requirements

3+ years’ experience in Data Science, Machine Learning, or a related field.
BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred).
Deep expertise in statistical modeling, machine learning, and deep learning, including practical experience with LLMs and transformers.
Strong programming skills (Python preferred; Java, Scala, or similar also valued).
Proven ability to build and optimize scalable data science solutions, end-to-end from data pipelines to deployment and monitoring.
Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses.
Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact.
Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives.
Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike.
Experience working cross-functionally with engineers, analysts, and product leaders.
Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment.

Skills

statistical modeling
machine learning
deep learning
LLMs
transformers
Python
Java
Scala
scalable data science solution
data pipelines
dbt
Astronomer
Snowflake
AWS
Docker
Kubernetes
CI/CD
MLOps best practices
handling and analyzing large datasets
cloud data warehouses
translating business needs into analytical solutions
stakeholder engagement
communication of complex data science concepts
cross-functional collaboration
continuous learning
collaboration
fostering an inclusive, innovative team environment

Location

San Francisco, CA
Austin, TX
Hybrid

Work Type

Hybrid role
requiring an average of 2 days per week in-office
This role must attend our local office for part of the week.

Experience Level

3+ years’ experience in Data Science, Machine Learning, or a related field

Education Level

BA/BS in Computer Science, Data Science, or related discipline
advanced degree is highly preferred

Salary/Compensations

US annualized base salary range: $206,000.00-$308,000.00

Benefits

Eligible for bonus
Eligible for benefits
Eligible for related incentives

About the Company

Zendesk software was built to bring a sense of calm to the chaotic world of customer service.
We power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience.
Zendesk is on a mission to simplify the complexity of business and make it easy for companies and customers to create connections.
Our customer experience software unlocks the power of billions of interactions, enabling businesses to build rich, meaningful relationships with their customers.
Our offices reflect the global cities we call home, and have spaces for collaboration, quiet, and events.

Equal Opportunity

Zendesk is an equal opportunity employer, proud of 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 peopleandplaces@zendesk.com with your specific accommodation request.