Position: Data ScientistWork Location: RemoteDescription:**Responsibilities**:- Work with stakeholders across the organization to identify opportunities to leverage enterprise data to drive business solutions.- Extract and analyze data from enterprise databases to drive optimization and improved labor efficiency, process streamlining and revenue growth.- Evaluate the effectiveness and accuracy of new data sources and data collection techniques.- Use predictive models to augment and optimize customer experiences, revenue generation, advertising targeting and other business outcomes.- Develop the company's A/B testing framework and test model quality.- Coordinate with the various functional teams to implement the models and track results.- Develop processes and tools to monitor and analyze model performance and data accuracy.**Requirements**:- Strong problem solving skills with emphasis on work efficiency and revenue growth.- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and gain insights from large data sets is preferred.- Experience in creating data architectures.- Knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their advantages/disadvantages in the real world.- Excellent written and verbal communication skills for team coordination.- Eager to learn and master new technologies and techniques.- Experience working in U.S. companies.- Formal training/development in the US or UK.- Advanced EnglishWe are looking for someone with 5-7 years of experience in:- Manipulating data sets and building statistical models.- Who has a degree or certification in a data science related field and is familiar with the following software/tools:- Experience with spreadsheets and data analysis techniques.- Experience in data visualization/presentation for stakeholders.- Experience analyzing data from external vendors, such as various restaurant POS systems.- Experience querying databases and using statistical computer languages - Python, SQL, etc. (preferred)- Experience creating and using advanced machine learning and statistical algorithms: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.Tipo de puesto: Tiempo completoHorario:- Turno de 8 horas