Data Scientist

The data scientist will contribute to the company’s development by collaborating with product managers, developers, and analysts to create an AI-ML framework for Scout’s value-added services.

Responsibilities include (but are not limited to):

• Work with enormous datasets and use sophisticated analytical approaches to complex challenges.
• Conduct end-to-end analyses, from data collection through analysis, reporting, and presentations.
• Develop a thorough grasp of Scout data structures, algorithms, and metrics.
• Use AI/ML/DL approaches to tackle supervised and unsupervised learning challenges.
• Build and prototype analytic pipelines iteratively.
• Create use cases, test scenarios, and test execution for all analytics features prior to product release.

The Candidate

The ideal data scientist will be capable of resolving difficult unstructured challenges via data-driven analysis and will have a strong dedication to growing the business’s income.

Key Requirements and Qualifications:

• Master’s degree in Computer Science or Mathematics preferable.
• Expertise in processing large amounts of structured and unstructured data, utilising data science approaches to deliver substantial business impact.
• This includes Deep Learning, statistical modelling and machine learning. It also includes econometrics and graph theory.
• A solid understanding of statistical and deep learning models.
• Coding, Algorithms, and High-Performance Computing.
• Excellent writing and spoken communication abilities, especially the ability to simplify complicated issues/scenarios.

For those who think they are competent in just a few of these areas, don’t worry! Individuals with a growth attitude and shown learning aptitude can apply.

Be who you are at work

It is our goal to be the catalyst for change that inspires us to take action in the workplace. Work should be a place where your true self can be fully expressed. We’re working hard on making that happen for you.

If you are interested in this opportunity, send an email to datascientist@careerxperts.com.