Data Scientist

Location

Porto / Hybrid (with weekly face-to-face team meetings)

Company Description

BrandDelta empowers companies around the world to transform the way their Brands can learn and win. Our Brand Intelligence platform is built to enable our clients to understand how consumers perceive their brands faster, deeper and in a more actionable manner with measurable links.

We are helping our clients to transition from slow-moving, expensive and unactionable survey-based solutions into the 21

century with the Brand Intelligence AI.

BrandDelta has ambitious plans for growth, with Porto marked as the centre for advanced AI-led software, supported by a growing team, offering great career prospects to individuals. Founders have a history building globally awarded AI businesses (e.g. achieving a top-10 Gartner rating for AI-led insight) and investing heavily into team and individual development.

Role Description

As a Data Scientist,  you will be part of our Data & Innovation team. We are developing and integrating a corpus of cross-channel digital signals from multiple datasets to uncover insights, design and implement efficient media marketing, influencer & creative strategies and maximize their marketing towards optimal growth.

In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI into a Global solution.

We deliver growth to clients based on AI enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers.

Requirements

• Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological / Physical science, or Computer Science; Masters preferred.
• 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for analysis
• 4+ years of experience in applying ML / statistical methodologies on large datasets of respondent level, log file, or transactional level
• Ambitious and open to learning many more ML and statistical methods, under mentorship of some recognised AI and software leaders.
• Experience in working with large datasets (>

1TB)

Preferred Skills / Experience :

What we offer :

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