Data Scientist, Intermediate: Predictive Analytics

Equifax; Madrid; Presencial; EUR 48.000 - 76.000; Jornada completa

Descripción de la vacante

Equifax in Madrid Castellana is seeking a Data Scientist to manipulate large data sets and integrate diverse data sources under guidance. You will translate requests into use cases and iteratively develop models to meet business requirements.

You will collaborate across teams to build predictive models, visualize results for management, and contribute to risk assessments and fraud detection initiatives. A STEM background and 2–5 years' relevant experience are expected.

Formación

• BS degree in a STEM major or equivalent discipline.
• 2-5 years of experience in a related analytical role, including experience with the design and development of predictive models.
• Cloud certification strongly preferred.
• Additional role-based certifications may be required depending upon region/BU requirements.
• Experience working in PICK enviroment

Responsabilidades

• Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources.
• Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard and new data sources.
• Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
• Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
• Package, summarize and visualize analytical findings and results for management; Evaluate the work of peer and/or junior data scientists to ensure high quality solutions

Educación

BS degree in a STEM major or equivalent discipline

Descripción del empleo

Equifax in Madrid Castellana is seeking a Data Scientist to manipulate large data sets and integrate diverse data sources under guidance. You will translate requests into use cases and iteratively develop models to meet business requirements.

You will collaborate across teams to build predictive models, visualize results for management, and contribute to risk assessments and fraud detection initiatives. A STEM background and 2–5 years' relevant experience are expected.