2 weeks ago

Data Scientist - Machine Learning

Catawiki

The Randstad

2 weeks ago

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Catawiki seeks a Machine Learning Data Scientist to build scalable ML models for its online marketplace. The role involves deploying production-ready models, exploring data for opportunities, and collaborating with cross-functional teams. Requires 3+ years experience, Python, SQL, and ML deployment skills.

Core AIHybridFull-timeMid LevelPythonSQL

Data Scientist - Machine Learning

Apply

Core AIHybridFull-timeMid LevelPython

Salary

Not specified

Work Location

The Randstad, Netherlands, NL

Work Model

Hybrid: minimum two days per week in the office

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years experience

Core Qualifications

Technical (Must-have)

PythonSQLMachine LearningStatisticsKubernetesCloud InfrastructureGitCI/CDPyTorchApache KafkanginxRecommender Systems

Soft Skills

CommunicationEntrepreneurial MindsetPragmaticCollaboration

Preferred Qualifications

Technical (Nice-to-have)

Google Cloud PlatformKubernetesGitCI/CDRecommender SystemsPyTorchApache Kafkanginx

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.

Data ScientistMachine LearningPythonSQLKubernetesMarketplaceE-commerceAmsterdamHybridMid Level

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.