Making Science is a leading digital marketing and technology consulting firm which is listed in the Madrid Stock Exchange. We are currently expanding our operations internationally, and our offices are located in Madrid, Barcelona, Paris, Mexico City, Bogota, Milan, London and Dublin. We are a company that specializes in providing comprehensive marketing and technological solutions for digital businesses. Our team is composed of more than 1000 digital professionals who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing and Big Data.
Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person’s contribution is essential to achieve our success.
What we’d like you to do:
Propose, develop and implement analysis using statistical / ML models that will improve our improve our contact acquisition and management process.
Maintain, optimize and export these models to different areas and countries.
Transform, enrich and prepare the data for analysis, identifying new data sources to improve the quality of the sources of data to improve the quality of the models.
Generate dashboards to monitor the models' results, in a visual and simple way visual and easy to use
Implement techniques such as: Natural Language Processing, event simulation, reinforcement learning or web event simulation, reinforcement learning or web scrapping.
What we’d like you to bring:
Degree in Statistics, Mathematics, Business Administration, Engineering or similar.
Previous experience of 2 to 3 years in an equivalent position designing, developing and running statistical / ML running statistical models / ML
Demonstrated experience in Python programming
Previous experience implementing models in production, preferably in AWS environment in AWS environment
Previous experience obtaining data from external sources via APIs
High knowledge of Microsoft Office and Power BI
High level of English
Proactive, innovative, team oriented and business oriented person; with high relational and communication skills
Perks of joining us
We give you complete stability with an indefinite job contract.
We offer a fixed salary according to your worth and experience, plus a performance based bonus.
Get the most out of your salary with our Flexible Payment Plan (Restaurant Ticket, Transportation Ticket, Day Care Ticket, and Medical Insurance.
Do you know someone that fits in Making Science? Refer him or her, and you can get a bonus if they’re hired!
Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model.
We care about a healthy work-life balance. You can count on having flexible working hours, an intensive work schedule during July and August, and one day a week where you can work from home.
You will never stop learning with us: subsidized training, learning capsules, an e-learning platform, and many more.
Pack your bags! You’ll have 26 vacation days and the afternoons off on the eve of national holidays.
Work comfortably and follow your own style, because we don’t have a dress code.
We know how to have a good time! Monthly TGIF events, 5V, and much more!
Be a part of a young, adventurous, and professional team, with people you’ll grow fond of!
Utilizziamo cookie propri e di terzi per analizzare il traffico sul nostro sito web ottenendo i dati necessari per studiare la navigazione. Puoi ottenere maggiori informazioni nella sezione Cookies Policy. Puoi accettare tutti i cookie cliccando sul pulsante "Accetta" o configurare o rifiutare il loro uso qui.
Configurare i cookie
Questi sono i cookie che utilizziamo sul nostro sito web. Puoi impostare le tue preferenze e scegliere come vuoi che i tuoi dati siano utilizzati per i seguenti scopi