Company specialized in the definition, execution and optimization of relationship marketing and commercial campaigns with the objective of helping its clients to sell more and better with innovative, hybrid and omnichannel solutions. To guarantee the achievement of its clients' objectives, it has more than 300 people spread over 3 continents and its own Data Science team that develops unique technology to guarantee the perfect execution of campaigns.

This well-known app for brands, retailers, and consumers is looking for an experienced Data Scientist (m/f) who is, like them, passionate about delivering the best product and user experience to our customers. As a key member of their cross-functional and agile team setup, you will leverage your skills and ability to extract valuable insights from various data sets. You will work with a variety of challenges that touch all parts of the business. Their goal is to design a better product that customers will love, enabling them to get meaningful data for them to make the most accurate decisions.

• Identify the best state-of-the-art algorithms and libraries to solve complex problems.
• Ad-hoc data analysis to answer critical business questions and to identify potential growth and development opportunities.
• Enriching the company’s data with third-party information when needed.
• Improving data collection procedures to include information that is relevant for building better analytic systems.
• Collaborate and contribute to functional, cross-functional groups, initiatives on methodologies, innovations, technology, IT infrastructure, etc. to enable broader and more effective use of data.
• Improve our internal data science tools and frameworks.

• Strong programming skills in Python
• 3+ years of prior experience in a Data Scientist role including statistical modelling, simulation and analysis, machine learning algorithms like predictions, recommendations, object recognition
• Good knowledge and experience in image recognition, text extraction algorithms 
• Good knowledge of libraries like Pandas, PuLP, Matplotlib, seaborn, scikit-learn
• Experience working with Linear Programming and Mixed-Integer Linear Programming
• Experience with TensorFlow 2
• Good knowledge of SQL
• Comfortable with Data Engineering skills
• Good knowledge of AWS Services like EC2, S3, Data Pipeline
• Basic knowledge of third-party API integration to read data from external sources
• Experience in executing data science projects

Personal skills

• Excellent communication and collaboration skills, able to explain complex effects and impacts of ML/DL insights in simple business terms
• Entrepreneurial mindset, self-starter, and ability to operate independently

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