Data Scientist

Stack

Responsibilities

• ▹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 find ways to leverage new and existing data effectively
• ▹Investigate new machine learning solutions to optimize every step of the value chain
• ▹Regularly conduct and evaluate A/B tests

Requirements

• ▹At least 3 years of relevant experience developing data science products, from initial research through production deployment
• ▹Strong coding skills with 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
• ▹Previous experience in Ad-Tech

Nice to have

• ▹Familiarity with Gradient Boosting Trees (CatBoost, LightGBM) in production environments
• ▹Experience building neural network-based products for classification, regression and multi-task learning
• ▹Knowledge of reinforcement learning and large-scale optimization problems
• ▹Understanding of dashboards and SQL for developing and enhancing monitoring tools

Soft skills

What we offer

• ▹Work directly with the founders and drive direct impact
• ▹Exceptional career growth and learning opportunity
• ▹Experienced team of industry experts and entrepreneurs
• ▹Multinational team across Germany, India, Argentina, Canada, Spain, the UK and more
• ▹Flexible work-from-home arrangement
• ▹Opportunity to relocate to the Berlin office
• ▹USD 500 home-office setup budget
• ▹USD 1,000 annual learning and development budget

About the company

Kayzen is a mobile demand-side platform (DSP) that makes programmatic advertising accessible to apps, agencies and brands. It handles over 160 billion ad requests per day and serves ads in 180 countries.