Kayzen - Data Scientist (m/f/d)
Requirements
• At least 3 years of relevant experience in developing data science products, from initial research through to production deployment. • data science products • 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. • Proficient in • 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. • Familiarity with Gradient Boosting Trees • Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable. • Experience in building neural network-based products • Bonus skills: Knowledge of reinforcement learning and large-scale optimization problems is a significant asset. • reinforcement learning and large-scale optimization problems • Good understanding of dashboards and SQL for developing and enhancing monitoring tools. • understanding of dashboards and SQL • Previous experience in Ad-Tech is a must. • Ad-Tech is a must.
Responsibilities
• Our day-to-day work in Data Science and Machine Learning encompasses a wide range of activities, including: • Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data. • Enhancing Models: • Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms. • Algorithm Development: • Data Exploration: Identifying and exploring new data sources while researching innovative ways to leverage both new and existing data effectively. • Data Exploration: • Solution Research: Investigating new Machine Learning solutions to optimize every step of our value chain. • Solution Research: • A/B Testing: Regularly conducting and evaluating A/B tests to drive insights and refine our strategies. • A/B Testing: • You’ll be a great fit if you resonate with the following principles of Data Science and Machine Learning: • Simplicity First: We prioritize finding the best solutions to challenges rather than forcing problems to fit predetermined solutions. • Simplicity First: • Impact-Driven: We leverage Machine Learning to enhance our product and drive performance for our clients, always focusing on tangible business outcomes. • Impact-Driven: • Collaborative Spirit: Our teams consist of analysts, engineers, and data scientists, making strong communication skills essential for success. • Collaborative Spirit: • Embrace Experimentation: We believe in the power of experimentation to innovate and refine our approach continually. • Embrace Experimentation:
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
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