You will... - Focus on customer engagement, customer value & life-cycle management - Convert Business problems into Data Analytics Solutions - Build and test end-to-end ML pipelines - Research and document best practices You have... - 2-4 Years of experience in the field of Data Science - Degree in Computer Science or in a quantitative discipline (e.g. Statistics, Mathematics, Mathematical Economics, Financial Engineering, Physics, etc.) - Experience using Python and/or R You may have... - Experience in Procedural SQL (e.g. PL/SQL, Transact-SQL, PL/pgSQL) - Familiarity with big data technologies (e.g. Apache Spark, Hadoop) - Familiarity with ML libraries and frameworks that facilitate distributed computations (e.g. PyTorch, Dask, TensorFlow) - Knowledge of Applied Finance/Applied Statistics You are... - An analytical thinker with problem-solving abilities - Able to take initiatives and prioritize - Excellent at interpersonal and teamwork skills - Self-motivated and methodical with... attention to detail You will get - Competitive compensation package - Continuous learning and fast career growth - Interesting and challenging work within large-scale projects - International dynamic, fast-paced working environment - Opportunity to work in a diverse environment with talented colleagues Είδος Εργασίας: Πλήρης απασχόληση
Athens Greece

Salary Criteria