About Us: CloudSmiths, a leading innovator in cloud-based solutions, is looking for a Data Scientist. We are committed to helping businesses transform their operations and achieve their goals through cutting-edge technology. We pride ourselves on fostering a collaborative and dynamic work environment where innovation and excellence are at the forefront of everything we do.
As a Data Scientist, you will assist in leading the development of cutting-edge analytics tools to provide data-driven solutions using statistical and machine learning methods for internal and external clients. This will range from performing exploratory data analysis to full machine learning model training, productionalisation, and lifecycle management.
Your Responsibilities: Documentation of what rules, assumptions, processes, and analysis the solution makes use of, along with the produced artefacts and results. Work with project teams on the required output; prototyping and testing models with the aim to productionalise them. Build, deploy and optimise machine learning models working across a broad range of different projects. Develop a deep understanding of different data infrastructures of clients and be at the forefront of the technical aspects to use, adopt and implement machine learning techniques. Assist in developing cloud-based applications that automate data collection, assimilation, aggregation, analysis, and visualisation of data at scale. Coordinate with Data Engineers to build data environments suited for in-depth data analytics and future AI applications. The Ideal Candidate: Proficient with one or more programming languages (Java, C++, Python, R, etc.) Demonstrated experience applying data science methods to real-world data problems (analysis of data problems and application of modelling) Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modelling experience Keen to lead analysis and solution development Ambitious, determined, and self-motivated Degree in Computer Science, Economics, Maths, Stats, or other relevant domain Experience working in cloud hyperscaler environments (GCP, Azure, AWS) Certification in data science or machine learning courses (i.e., GCP Machine Learning Professional, Stanford Data Science, Andrew Ng Machine Learning, etc.) Experience working with LLMs - prompting, fine-tuning, integration, etc.
#J-18808-Ljbffr