Job Description

Our client build and deploy cutting-edge technology that connects consumers (Retail and commercial) with more than 3.6 million businesses globally. Based in the US  and with over 5,000 employees they have a work environment rich in diversity, creativity, and collaboration. They innovate through a experimentation and ownership, enhancing the ability for our clients to experience success. 

Responsibilities

• Responsible for building analytical and scientific solutions to help solve business challenges providing timely, accurate and actionable insights
• Conduct consumer and commercial analysis via Machine Learning (ML) algorithms or data modelling
• Formulate data strategy that promotes a culture of data-driven decision-making and exploring new data initiatives
• Devise algorithms/ machine learning models in cloud data platform to mine big data
• Support the implementation of different data science applications in the cloud platforms (app analytics, CRM modelling and consumer campaign system management)
• Implement analytical models, working with software engineers and machine learning engineers
• Utilise data visualizations tools to present findings and insights that create business impact

Requirements

• Degree in Statistics, Computer Science, Data Science or related disciplines
• Minimum of 8 years of solid experience in data analytics and/or related industries with at least 5 years in data science/cloud platform 
• Solid experience of key machine learning
• Solid experience big data cloud platform, e.g. Microsoft Azure ML Services & Data Warehouse, AWS SageMaker, Google ML
• Experience in common data science languages/toolkits, such as Python, SQL, R, Scala, Apache Spark to manipulate data and draw insights from large data sets is desirable
• Experience in data architectures and in data visualization tools, such as Tableau and PowerBI