Senior Data Scientist

Job Title: Senior Data Scientist Location: Germany/Remote Start Date: Mid-December 2023 Duration: To be determined Our clients are seeking Senior Data Scientists with prior consulting experience and an in-depth understanding of AI capabilities and tools. As a Lead Data Scientist, you will have a critical advisory role, which includes gathering and preparing AI-embedded data, deploying advanced tools for statistical analysis, designing AI-powered models for predictive insights, and utilizing cutting-edge machine learning techniques. Required field of expertise: Data collection and preparation: Gathering and processing data from various sources, sanitizing and converting data into a usable format for analysis using AI tools. Statistical analysis and modeling: Implementing statistical analysis and modeling techniques to discern patterns, trends, and relationships within the data. Machine learning: Designing and implementing machine learning models to predict outcomes or categorize data based on patterns and interconnections. Data visualization and communication: Generating data visualizations and reports to convey findings and insights to stakeholders. Continuous learning and improvement: Keeping up-to-date with the latest data science techniques, tools, and technologies to persistently enhance the quality and impact of data analysis. Requirements: 5+ years of professional experience in Data Science consulting. Experience in consulting, including the use of AI capabilities and tools such as GenAI. Knowledge of AI capabilities and tools relevant to tasks is highly preferred. An academic background in a quantitative field such as Computer Science, AI, (Applied) Mathematics, Econometrics. Understanding of best practices in Data Science approaches and MLOps. Proficiency in programming languages (e.g. Python, Julia, R) and a firm understanding of software engineering principles. Experienced in leveraging DevOps, GIT & CI/CD and constructing ML pipelines in cloud platforms (preferably Azure). Familiarity with the Microsoft Azure stack e.g. Azure Data Storage, Databricks, MLFlow/Azure Machine Learning, Kubernetes, etc. Strong analytical and communication skills, both in understanding business context and problems as well as explaining technical and specialized topics to key stakeholders.