Berlin, Berlin, Germany
• 10+ years of experience in data science and machine learning. • 6+ years of experience in team leadership, with proven record of building high-performing teams • Experienced communicator for translating technical solutions to both technical and non-technical audience. • Experienced problem solver by collectively partnering with senior product and business leaders. • Strong business oriented mindset and technical background in data analysis, machine learning, and statistical modeling. • Proven track record of delivering data-driven solutions that drive business growth and improve decision-making. • Mentored and guided large cross-functional teams to achieve business goals. • Wide experience in data science domains, A/B testing, recommendation, search, personalization, customer targeting, forecasting, pricing. Technical Stack • Python, SQL, Tableau, AWS (Athena, Redshift, S3, Sagemaker, Forecast, Lambda, ECR, ECS), GCP, MLFlow, Docker, Airflow, FastApi, NoSQL, Mongo, Redis, Machine Learning Articles https://aws.amazon.com/tr/blogs/machine-learning/demand-forecasting-at-getir-built-with-amazon-forecast/ https://aws.amazon.com/blogs/machine-learning/getir-end-to-end-workforce-management-amazon-forecast-and-aws-step-functions/ https://aws.amazon.com/tr/blogs/machine-learning/how-getir-reduced-model-training-durations-by-90-with-amazon-sagemaker-and-aws-batch/
- Lead 12 Data Scientists across 2 squads, defining the personalization roadmap for 6 global brands across 70+ countries - Direct the strategy and execution for all core recommendation engines - Successfully transformed regional recommendation architectures (APAC and Eastern Europe) into a unified global framework
Led a team of 30+ data scientists and machine learning engineers through three managers, driving strategic initiatives and innovation. Domains: Search, Recommendation and Personalization Forecasting, Optimizations Supply Chain and Pricing
Leading team of data scientists (2 squads)
Research and Development