Data Scientist (m/f/d)

Summary

Kayzen is a mobile demand-side platform dedicated to democratizing programmatic advertising. They are seeking a Data Scientist to enhance machine-learning models, collaborate on algorithm development, and explore new data sources to optimize their operations.

Responsibilities

• Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data
• Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms
• Data Exploration: Identifying and exploring new data sources while researching innovative ways to leverage both new and existing data effectively
• Solution Research: Investigating new Machine Learning solutions to optimize every step of our value chain
• A/B Testing: Regularly conducting and evaluating A/B tests to drive insights and refine our strategies

Skills

• At least 3 years of relevant experience in developing data science products, from initial research through to production deployment
• Strong coding skills with a focus on clean, reproducible, and well-tested code
• Proficient in key tools and technologies including Python, Spark, Hadoop, Airflow, Docker, and SQL
• Hands-on experience with algorithms for handling sparse and large datasets, including applications in prediction, clustering, and outlier detection
• Familiarity with Gradient Boosting Trees (CatBoost, LightGBM) in production environments is a plus
• Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable
• Good understanding of dashboards and SQL for developing and enhancing monitoring tools
• Previous experience in Ad-Tech is a must
• Knowledge of reinforcement learning and large-scale optimization problems is a significant asset

Qualifications

Must Haves

• At least 3 years of relevant experience in developing data science products, from initial research through to production deployment
• Strong coding skills with a focus on clean, reproducible, and well-tested code
• Proficient in key tools and technologies including Python, Spark, Hadoop, Airflow, Docker, and SQL
• Hands-on experience with algorithms for handling sparse and large datasets, including applications in prediction, clustering, and outlier detection
• Familiarity with Gradient Boosting Trees (CatBoost, LightGBM) in production environments is a plus
• Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable
• Good understanding of dashboards and SQL for developing and enhancing monitoring tools
• Previous experience in Ad-Tech is a must

Nice to Haves

• Knowledge of reinforcement learning and large-scale optimization problems is a significant asset

Benefits

• Directly working with Founders and an opportunity to drive direct impact
• Exceptional career growth and learning opportunity
• A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
• A fun, driven, and multinational team located across Germany, India, Argentina, Canada, Spain, the UK and many more countries.
• A flexible work-from-home arrangement
• Opportunity to relocate to our office in Berlin
• A 500-dollar home-office setup budget
• A 1000-dollar annual learning and development budget