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.

Extensive 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.
Bonus skills: Knowledge of reinforcement learning and large-scale optimization problems is a significant asset.
Good understanding of dashboards and SQL for developing and enhancing monitoring tools.
Previous experience in Ad-Tech is a must.

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
Direct, day-to-day work experience with the management
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

Kayzen

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