We are looking for our new Head of Data Science
Citibeats is growing! Join a fast-moving and exciting deep learning tech company and take your career to the next level!
We are looking for an enthusiastic and experienced Head of Data Science with a background in social uses of machine learning and NLP. Previous experience in SaaS companies is a plus.
As our Head of Data Science, your job will be to coordinate the Data Science team, define the stages and goals of the different paths of data science research, and bring state-of-the-art technologies and methodologies to take our product to the next level. You will be the go-to person for everything involving Data Science research.
If you’re motivated to see your work applied by some of the world’s leading organizations battling the health and social impacts of coronavirus, helping inform the distribution of funding in developing countries, or investing in new infrastructure according to citizens’ needs, this role could be for you.
Citibeats is the fastest and most efficient social intelligence and text analytics platform in the market. Citibeats organizes unstructured data via natural language processing (NLP) and machine learning. Our platform allows for the gathering of relevant information in changing social contexts, which permits public organizations and financial institutions to react more quickly and efficiently to the needs of citizens.
Leading financial institutions in Spain and different public organizations like the Ministry of Infrastructure in Japan, the city of Dublin, Tokio Marine and international partners like NTT Data, Accenture and Telefónica, among others, already trust in the Citibeats solution.
Citibeats has received prestigious recognition like the United Nations; World Summit Awards, the “Best Artificial Intelligence for Governments” by COGx and winner of NTT Data’s “Open Innovation Contest “in Japan.
Citibeats is an equal opportunity employer. Your uniqueness makes us better, and we encourage you to apply to this position without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, or disability status.