November 15
• As a Senior Data Scientist, you will analyze data, build machine learning models to support our AI products, and work with the tech team. • Translate product requirements to machine learning problems and identify areas where AI can have the most business impact. • Analyze data to identify significant patterns and generate actionable insights. • Perform exploratory data analysis EDA and feature engineering to support the modeling process. • Apply best practices on model selection and parameter tuning. • Run comparative experiments for model training. • Analyze ML metrics to evaluate solutions. • Manage the full lifecycle of AI features from data collection to model design and implementation. • Mentor and guide junior members, sharing knowledge and leading projects.
• Expert knowledge of machine learning algorithm and respective theory • Extensive hands-on experience in delivering machine learning models to production • Experience in developing MLOps solutions • Knowledge of the Python machine learning ecosystem and solid software background in OOP • Knowledge of Deep learning • Strong skills in teamwork, communication, and analytical thinking • Fluency in English, both oral and written. • Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks • Experience in recommendation systems • Experience in GenAI application development • Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.
• Hybrid way of working • A buddy will support you with your onboarding • Competitive pay & bonus scheme • Private health insurance for you & your family • Monthly meal allowance • Developmental 360° feedback framework • Unlimited access to Udemy & continuous training • Commuting allowance
Apply NowOctober 28
5001 - 10000
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