Data Scientists help organizations understand massive volumes of big data. It involves the use of analytical, statistical, and programmable skills all aligning to deeply understand unstructured information. They are mathematicians, computer scientists, and data crunchers. Data science can help organizations interpret raw data and extract valuable insights from it.
A strong Data Scientist can dive deep into a vast amount of numbers, make sense of them, and discover valuable solutions for the organization that can generate revenue. It requires collecting information from various sources and organizing it, creating a clear picture that can solve problems. With careful planning and execution, the Data Scientist can use practical skills to present complicated data analysis in clear and interesting ways, showcasing new problem-solving options for an organization.
Finding a qualified Data Scientist isn’t easy. Bamboo Crowd has over 10 years of experience hiring Data Scientists for corporates, consultancies, startups, new ventures, accelerators, and incubators. Our network of talent ranges from junior practitioners right the way through to Chief Data Officers.
Our process and experience allow you to get access to an incredibly unique talent pool with a diverse range of experiences and backgrounds.
Chief Data Officer, Head of Data, VP Data Science, VP Data Engineering, Lead Data Scientist, Data Scientist, Data Analyst, Data Engineer, Senior Data Engineer, Head of Data Engineering, Machine Learning Engineering, Prompt Engineer, Senior Machine Learning Engineer, Head of Artificial Intelligence, Data Strategist, Lead Data Strategist, Senior Data Strategist
AI & Machine Learning, Automation, Cloud, Big Data and Analytics, Python, R, SAS, SQL, Apache Hadoop, Apache Spark, Cassandra, AWS, Azure, Google Cloud, Tableau, QlikView, D3.JS, Tensorflow, Scikit-learn, Keras, NLTK, Spacy, OpenRefine, Trifacta