Job description
Do you enjoy experimenting with data? Are you able to develop, structure and facilitate the data activity (prescriptive and / or predictive analysis) to formulate business recommendations? We are looking for a Data Scientist to guide and challenge strategic and tactical marketing decisions such as customer segmentation, optimal level of investment per channel, prediction of customer engagement based on historical data.
Join our fun-loving global community of more than 95,000 passionate people who work across 190 locations in over 50 countries delivering exceptional customer experiences for some of the world’s leading brands. Being a people-first company, we put people at the heart of our business, and this is when everything comes alive.
You will use your knowledge of data, programming and statistics to collect and interpret large tables of data from different sources in order to anticipate business needs and make recommendations for best practice.
- Identifying relevant data sources in existing internal and external databases
- Structuring and preparing data while ensuring its reliability and integrity
- Carrying out advanced descriptive and predictive analyses such as description of customer journeys, segmentation of customers on the basis of historical and/or demographic data, predictive analysis of e-mail openings, etc. and prescriptive ROI using data processing and statistical languages such as SQL, R or Python
- Providing and communicating clear and simplified analyses, transforming them into business recommendations
- Co-ordinating integration, structuring, visualisation and data analysis activities
- Ensuring the progress of data activities and providing regular feedback
- Actively contributing to exchanges and sharing of best practices related to data
- Developing efficient operations processes for high availability of Global Data platform
- Collaborating with colleagues across the Operational, Insight and Solutions Teams resolving issues and determining priorities
- Assuming accountability for the development of work orders for analysis and production of solutions escalating delivery failures
- Ensuring project trackers are maintained so that the Solutions Management Team has a single view of the range of opportunities in development, roll out delivery or live
- Knowledge or experience of Azure Machine Learning Studio, Jupiter Notebook, Pycharm, VS code, Python, Spark , Spark SQL, Scala, Java Script, Web Services, SQL Server2008/14/16, HTML, XML, Azure Databricks, Azure Data Factory or Azure Analysis Service
- Experience working with large datasets, relational databases (SQL) and experience in a Cloud environment such as AWS
- Experience in data visualisation using tools such as Tableau or Power BI
- Advanced knowledge of statistical techniques, data mining, big data and machine learning
- Knowledge of Python, Scala or statistical software (Advantageous)
Each Webhelper brings a different energy, passion, a unique set of skills and talents. This strand of our DNA sets us apart and is how we enrich customer experience and business solutions for our clients.
We’d love to get to know you better. After applying, you will be sent a link to complete a quick online chat. We don’t want you to miss out on the opportunity so please check all of folders for the link after applying. Take this opportunity to advance your career with our collaborative team of game-changers.
Job Reference: IN00890
