Machine Learning Data Scientist

About Talkwalker

Talkwalker delivers the social insights that help brands build growth. In a world full of conversations, the most successful global brands have switched to Talkwalker because we provide them with a powerful software platform to uncover, understand and derive the most valuable insights from social, online and conversational data. Our listening and analytics tool enables more than 2,000 companies worldwide to protect their brands, measure their impact and gain the key consumer insights that drive purchase decisions.

Position

Key responsibilities:

• Build, develop and refine our core machine learning technologies
• Participate in continuous R&D work for our machine learning algorithms
• Constantly work on diverse and challenging new functionalities (detection of duplicates, sentiment, events, trends, automatic translation of text, content extraction, clustering, image classification and brand detection, ...)
• Apply your work on our big data corpus of more than 350 million new posts a day. Our search archive has over 1 PB of data
• Be able to influence business and product delivery in a flexible company structure
• Work together with different teams within Talkwalker such as the Data and Search teams

Your qualification

• You have a PhD degree in Maths/Statistics/Computer Science or related quantitative
• You have a strong grasp of statistics and data mining techniques
• You have hands-on experience with Java
• A first experience with GPU programming would be a plus
• Fluency in software engineering tools and practices (revision control, compilation toolchain, debugging, etc)
• You are creative, self-motivated, try things out on your own and simply get things done

What we offer

• Outstanding development team and great company atmosphere where you can personally grow
• Monthly developer talks
• Yearly paid attendance to a conference of your choice related to your work. (e.g. Elasticon in San Francisco)
• Lunch vouchers
• Ski trip, summer barbecue, Christmas party, Monthly company lunches & afterworks
• Monthly sport & social activities
• VISA sponsorship for successful candidates if required
• Optional health insurance
• 1 Volunteering Day Per Year