Applied ML Scientist: Revenue Signals & Production ML

Zendesk

Lisboa

Híbrido

EUR 70 000 - 110 000

Tempo integral

Há 8 dias
Gerador de candidaturas

Transforma esta função numa entrevista — um currículo e uma carta de apresentação criados à volta do que este empregador procura.

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Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Resumo da oferta

Zendesk is recruiting an Applied ML Scientist to advance customer intelligence by training models, designing experiments, and deploying production systems that surface actionable insights. You will work with structured and unstructured data, applying embeddings and LLMs where useful.

The role emphasizes end-to-end ownership, from problem formulation to monitoring in production. You will collaborate with AI/ML Engineers, Data Engineers, and Analysts within the Enterprise Data & Analytics team,

Qualificações

  • 3–5 years' experience in applied ML, data science, or related field.
  • BA/BS in Computer Science, Statistics, Mathematics, or related quantitative discipline.
  • Advanced degrees welcome but not required.

Responsabilidades

  • Train, evaluate, and deploy models predicting revenue-related outcomes.
  • Design and run experiments to relate customer signals to business results.
  • Build production ML pipelines that learn and retrain at scale.

Conhecimentos

Python
SQL
Machine learning
Data processing
Embeddings
Experiment design
Production code

Formação académica

BA/BS in CS/Math/Stats

Ferramentas

Snowflake
Airflow
dbt
PyTorch
TensorFlow

Descrição da oferta de emprego

Zendesk is recruiting an Applied ML Scientist to advance customer intelligence by training models, designing experiments, and deploying production systems that surface actionable insights. You will work with structured and unstructured data, applying embeddings and LLMs where useful.

The role emphasizes end-to-end ownership, from problem formulation to monitoring in production. You will collaborate with AI/ML Engineers, Data Engineers, and Analysts within the Enterprise Data & Analytics team,

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