Job
- Level
- Erfahren
- Ort
- Berlin
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du Machine-Learning-Modelle zur Verarbeitung großer Datenmengen und optimierst bestehende Algorithmen für Echtzeitanwendungen. Außerdem führst du A/B-Tests durch und erkundest neue Datenquellen.
Job Technologien
Deine Rolle im 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
- Familiarity with Gradient Boosting Trees (CatBoost, LightGBM) in production environments is a plus.
- 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.
Erfahrung
- At least 3 years of relevant experience in developing data science products, from initial research through to production deployment.
- Hands-on experience with algorithms for handling sparse and large datasets, including applications in prediction, clustering, and outlier detection.
- Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable.
- Previous experience in Ad-Tech is a must.
Unser Angebot
- 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.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Kayzen
Kayzen / Realtime Technologies GmbH ist ein modernes Unternehmen mit Sitz in Berlin, das eine mobile Demand-Side-Plattform für programmatische Werbung bereitstellt. Diese Plattform hilft Werbekunden, erfolgreiche Kampagnen für Akquise, Retargeting und Performance-Marketing zu realisieren. Kayzen legt besonderen Wert auf Performance, Transparenz und Kontrolle im Kampagnenmanagement und unterstützt Teams aus Apps, Agenturen und Marken bei ihrem datengetriebenen Wachstum.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Werbung, Marketing, PR
Data Scientist
- Ort
- Berlin
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
