1 day ago

Data Scientist I

Elsevier

Amsterdam

1 day ago

Apply

Data Scientist I

Data Scientist I role in Amsterdam, focusing on NLP solutions and full lifecycle data science projects. Requires Python proficiency, ML expertise, and production-ready coding. Offers a salary range of €40,400 - €67,400.

AIOn-siteFull-timeEntry LevelPythonDeep Learning

Data Scientist I

Apply

AIOn-siteFull-timeEntry LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

3 years

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

PythonDeep LearningClassificationScikit-learnPyTorchTensorFlowLarge Language ModelsPandasNumPyMatplotlibSciPyGitDevOpsCI/CDAWSAzure

Soft Skills

CommunicationPresentationAnalytical ThinkingProblem SolvingContinuous LearningWillingness to Learn

Preferred Qualifications

Technical (Nice-to-have)

ParallelizationMulti-threadingSageMakerKubeflowMLFlowApache SparkApache HadoopDatabricksJavaSQLJSONXMLREST APIsMicroservicesUML

Key Responsibilities

•Drive data collection, analysis, and model development with emphasis on classification and deep learning
•Define quality metrics and assess model performance, presenting insights to stakeholders
•Craft production-ready Python packages for data science pipelines including preprocessing and model inference
•Collaborate with technology team for seamless deployment
•Integrate data science components and conduct quality assessments using large language models
•Ensure resilience of pipelines against model drift and develop maintenance tools
•Establish reporting process for pipeline performance and implement automatic re-training strategies

Data ScienceNLPPythonMachine LearningDeep LearningAmsterdamOn-siteEntry Level

Key Responsibilities

•Drive data collection, analysis, and model development with emphasis on classification and deep learning

•Define quality metrics and assess model performance, presenting insights to stakeholders

•Craft production-ready Python packages for data science pipelines including preprocessing and model inference

•Collaborate with technology team for seamless deployment

•Integrate data science components and conduct quality assessments using large language models

•Ensure resilience of pipelines against model drift and develop maintenance tools

•Establish reporting process for pipeline performance and implement automatic re-training strategies