2 weeks ago

Senior Data Scientist - Machine Learning

Catawiki

The Randstad

2 weeks ago

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Catawiki seeks a Senior Machine Learning Data Scientist to build scalable data products for its online marketplace. The role involves developing production-ready ML models, collaborating with cross-functional teams, and deploying models on cloud infrastructure. Requires 5+ years of experience, Python, SQL, and ML deployment skills.

Core AIHybridFull-timeSeniorPythonSQL

Senior Data Scientist - Machine Learning

Apply

Core AIHybridFull-timeSeniorPython

Salary

Not specified

Work Location

The Randstad, Netherlands, NL

Work Model

Hybrid: minimum two days per week in the office

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior: 5+ years

Core Qualifications

Technical (Must-have)

PythonSQLMachine LearningStatisticsKubernetesDockerGitGoogle BigQueryMySQLApache SparkApache AirflowApache KafkaCI/CDPyTorchTensorFlow

Soft Skills

entrepreneurial mindsetpragmaticcollaborationproblem solvingguidance

Preferred Qualifications

Technical (Nice-to-have)

LightFMnginx

Key Responsibilities

•Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code.
•Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems.
•Being pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques.
•Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML.
•Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions.

Senior Data ScientistMachine LearningPythonSQLKubernetesAmsterdamHybridMarketplaceE-commerceData Science

Key Responsibilities

•Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code.

•Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems.

•Being pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques.

•Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML.

•Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions.