About this role

Take full leadership of a project, being able to start it from scratch and bring it to production synchronizing with other Data and Software Engineers
Strong technical understanding of statistical methodologies and algorithms
Brainstorm and collaborate with colleagues, documenting projects, describing insights and ideas
Maintain communication with stakeholders using sync, slack, and email
Write code applying good practices in analysis, features engineering, model training, and experiments
Utilize collaborative tools like Google Collab; store analysis and models in GitHub repositories
Work on projects such as Worker Quality Score models, Candidate Quality prediction, Matching Algorithm improvements, and scheduler optimization algorithms
Implement forecasting models for upcoming demand of vacancies and worker assignment

Technical degree in Engineering or Quantitative field; a Ph.D. is a plus
Preferred a mix of experience in both startup and big enterprise environments
Strong theoretical and applied knowledge in Statistics (hypothesis testing, supervised and unsupervised models, etc.)
Strong programming skills with Python and SQL; any other language is a plus
Experience with NoSQL databases
Strong experience in advanced Data Analysis, data retrieval, cleansing, investigations, etc.
Experience in code collaboration (PR/code review, good practices), CI/CD, monitoring and logging services, and solutions
Experience in at least 2 of these topics (ordered by importance): Classification and Regression problems, Information Retrieval, Operations Research (Linear and/or Constraint Programming), Computer Vision, Natural Language Processing
A plus, experience with Spark, Apache Hadoop, Airflow
A plus, experience with ML libraries such as XGBoost, TensorFlow, Or-Tools
Fluent in English is a must; able to communicate effectively with different levels of management, as well as the business and technical communities
A valid work permit to be employed in Spain

A complete benefits program that includes flexible remuneration through expenses for restaurants, transport, childcare, and health insurance
A yearly budget for Conferences/meetup/self-learning
Possibility of working remotely
Working in an international and multidisciplinary team

Data Scientist

Key skills