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Senior Data Scientist Kayzen. Senior Data Scientist (m/f/d) Europe, Remote _______________________________________________. Hello👋I am . Puneet. , Co-founder and CPO at Kayzen, and I am now looking for a Senior Data Scientist to join our team 🙌. But wait, you have not heard of Kayzen before?😃. Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading app developers, agencies, media buyers, and brands to run programmatic performance campaigns in both self-serve and managed service modes.. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world's best mobile marketing teams to take programmatic advertising in-house.. With an unprecedented scale of >160bn daily ad requests from 2bn+ unique users worldwide, we serve more than 700M M ads per day in 180 countries. Kayzen is accessible through our APIs or user interface.. The Team. You will work with a carefully selected, diverse and globally distributed Data Science team (like . Heiko. , . Chen. ) on various machine-learning models that process terabytes of data, serving billions of ad requests and users around the globe in real-time. We are highly motivated and aligned in our quest to disrupt the multi-billion dollar ad-tech industry.. We would like you to be part of our journey, as our . Senior Data Scientist (m/f/d). .. 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.. 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.. 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.. Impact-Driven: . We leverage Machine Learning to enhance our product and drive performance for our clients, always focusing on tangible business outcomes.. Collaborative Spirit: . Our teams consist of analysts, engineers, and data scientists, making strong communication skills essential for success.. Embrace Experimentation: . We believe in the power of experimentation to innovate and refine our approach continually.. Requirements. 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.. What do we offer?. 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, Turkey, the UK and many more.. 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