The Clients Data Science team delivers insights and value to clients from heterogeneous data sets with solutions that integrate into engineering and decision-making processes. Additionally, our team enables big analytics for our clients through advisory services including use case prioritisations, tool selection and training, and capability definitions. Their success as a services firm relies on their experts' ability to be more than technologists and statisticians.
The following are a list of relevant skills expected from the successful candidate:
Must
Data analysis and visualisation tools and workbenches
Analysing structured, semi-structured and unstructured data
Data query languages, e.g. SQL, HiveQL or similar
Should
Desirable
Spark
Distributed systems
Hadoop ecosystem
Scikit-learn and Pandas
The Data Scientist’s objective is to deliver insights and value to enterprise Customers from heterogeneous data sets, with solutions that integrate into engineering and decision-making processes.
Specific ResponsibilitiesCustomer workshops:
Agile cross-functional teamwork:
Documentation & coding standards:
Job details are sourced from the employer's original posting.
Open job postingAbout the company
The Client provides expert advisory and implementation services for open source big data solutions. As the first and only pure-play big data services firm, their Data Scientists and Engineers are trusted advisors to the world's most innovative companies. Their experienced teams combine a distinctive methodology and a proven framework that includes tested design patterns and pre-built components, to help clients build applications faster. The Client helps Customers leverage Big Data analytics by integrating open source platforms, such as Hadoop, NoSQL and Streaming Engines, with best-of-breed data warehousing environments. Service offers include: a Big Data roadmap, Data Engineering, Data Lake and Analytic Operations, Training and ongoing Big Data Solution Support.