Data Scientist | Analyst

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Kantar’s Worldpanel division is searching for an analytical Data Scientist. Based in Lisbon, Portugal, this is an opportunity to be part of the company’s exciting vision for the future!

Kantar is the world’s leading marketing data and analytics company. We have a completely unique and rounded understanding of how people think, feel and act; globally and locally in over 90 markets. Combining our expertise in human understanding with innovative advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.

Kantar’s Worldpanel division is the global expert in consumer behaviour. Worldpanel provides brands and retailers with a unique, 360-degree understanding of consumer behaviour across the globe – with unparalleled datasets, pioneering technology and expert analysts, we partner with brands and retailers of all sizes, empowering them to reimagine what’s possible, and change the landscape to create a better, healthier, more sustainable and inclusive world. With over 60 years’ experience, a team of 3,500, and services covering 60 countries directly or through partners, Kantar Worldpanel turns purchase behaviour into competitive advantage in markets as diverse as FMCG, textile, baby products, telecommunications and entertainment, as well as many others, by delivering a holistic market measurement, giving brands and retailers the power to spot emerging trends and respond quickly to changing behaviour.

ROLE’S MISSION

We’re looking for an analytical Data Scientist to design new solutions through leading edge analytical approaches to improve the quality and efficiency of Kantar Worldpanel services globally. The ideal candidate should have a passion for using statistical and inference techniques, combined with Big Data approaches and will work with internal stakeholders to understand the business problems.

KEY OUTCOMES & RESPONSIBILITIES

• Apply statistical analysis to a variety of data to define best-in-class, data driven solutions to business challenges, including effective data cleaning techniques;
• Perform statistical analysis to identify new relevant indicators and business trends;
• Apply data engineering methods to deliver automated solutions to efficiently analyze large sets of data and take corrective actions when exceptions are identified;
• Collaborate in building data-driven models for targeted solutions, working with engineers to develop efficient data querying and modelling infrastructure;
• Create data visualizations and communicate the analyses and findings through documents and presentations.

REQUIREMENTS

• Academic background in Mathematics, Statistics, Computer Science, Engineering, Physics or equivalent quantitative fields;
• 1-2 years minimum of relevant work experience in similar roles;
• Full English Professional Proficiency (B2 Level minimum);
• Knowledge of Probability and Statistics (e.g, Distributions, Statistical Inference, Hypothesis testing, Bayesian framework, etc);
• Knowledge of Python and/or other platforms and languages (e.g., Spark, SQL, R);
• Experience with Pyhton libraries (e.g. scikit-learn, pandas, plotly or equivalents);
• Team player and likes to work with others to get a clear understanding of the context around the data;
• Strong communication and interpersonal skills;

The following, although not mandatory, will be appreciated:

• Experience with Azure Databricks platform;
• General understanding of data mining techniques (e.g. Unsupervised Learning – K-means, Gaussian Mixtures, DBSCAN, Dimensionality Reduction – PCA, TSNE, ICA, Factor Analysis);