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Senior Data Scientist (m/f/d)

Kayzen
Posted this week

LOCATION

EMEA · Remote

EXPERIENCE

5+ Years

SKILLS REQUIRED

Machine LearningPythonSQLSparkDeep LearningA/B TestingAirflowHadoopDockerAnomaly Detection

Job description

Overview

Senior Data Scientist working on machine-learning models that process terabytes of data and serve billions of ad requests in real time for Kayzen's apps DSP.

What you'll do

  • Continuously improve existing models by incorporating new features, fine-tuning parameters and utilizing additional data.
  • Collaborate with the Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms.
  • Identify and explore new data sources and research innovative ways to leverage new and existing data.
  • Investigate new machine-learning solutions to optimize every step of the value chain.
  • Regularly conduct and evaluate A/B tests to drive insights and refine strategies.

What you'll need

  • Minimum 5 years of experience developing data science products, from initial research through to production deployment.
  • Previous experience in the Ad-Tech industry.
  • Strong coding skills with a focus on clean, reproducible and well-tested code.
  • Proficiency in Python, Spark, Hadoop, Airflow, Docker and SQL.
  • Hands-on experience with algorithms for sparse and large datasets, including prediction, clustering and outlier detection.
  • Experience building neural network-based products for classification, regression and multi-task learning.
  • Good understanding of dashboards and SQL for developing and enhancing monitoring tools.

Nice to have

  • Knowledge of reinforcement learning and large-scale optimization problems.

Details

  • Location: Europe or India, remote.
  • Opportunity to relocate to the Berlin office.
  • Flexible work-from-home arrangement.

Read the full description and apply on the company’s own careers page.

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Senior Data Scientist (m/f/d)