Data Scientist

Kount; Madrid; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in Iberia is seeking a Data Scientist to join their Data Science team. This role offers an excellent opportunity for career development in an international environment, focusing on innovation projects and collaborating with senior analytics professionals. Key responsibilities include data analysis, predictive model development, and incorporating advanced methodologies to enhance business processes.

Formación

• At least 4 years of experience in a related analytical role.
• Cloud certification strongly preferred.
• High proficiency in both English and Spanish are required.

Responsabilidades

• Utilize combined knowledge of data structures, analytic algorithms/models.
• Conduct analytics and develop deployable solutions.
• Analyze and prepare complex new data sources.

Conocimientos

Analytical skills

Data structures

Problem Solving

Collaboration

Statistical Programming

Educación

BS degree in mathematics, statistics or equivalent

Herramientas

Python

SQL

BigQuery

GCP

R

MS Excel / Google Sheets

Vertex AI

TensorFlow

Gemini

Hugging Face

Airflow

Descripción del empleo

Equifax is looking for a Data Scientist to join their Data Science team in Iberia. The ideal candidate for this role has strong analytical skills and is keen to work in innovation projects, contributing to generate new NPI for Equifax Iberia and its clients.

This is an excellent opportunity to develop a professional career in an international environment, working with cut-off cloud tools and collaborating with senior analytics professionals.

What you will do

• Utilize combined knowledge of data structures, analytic 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 run complex data analysis.

• Able to analyze and prepare complex and new data sources and incorporate them into

  analytical solutions.

• Research new methodologies and their applications in current and future process and business lines.

• 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.

  
  What experience you need

• BS degree, preferably in mathematics, statistics or equivalent discipline.

• At least 4 years of experience in a related analytical role, including experience with the design and development of predictive models

• Cloud certification strongly preferred.

• Technical capabilities including Python (required), SQL (required), BigQuery, GCP, R, MS Excel / Google Sheets, Vertex AI, TensorFlow, Gemini, Hugging Face, Airflow.

• Languages: High proficiency in both English and Spanish are required.

What could set you apart

• Artificial Intelligence & Generative AI - Utilize artificial intelligence and generative AI to improve process efficiency, effectiveness and products.
• Collaboration - work collaboratively across different projects, communicating technical details to technical and non-technical stakeholders. Manage own priorities within and across teams.
• Consultancy Business Acumen - Have a good understanding of business and operational processes, related market segments and technical intricacies to identify how analytical solutions can cover a commercial/business problem.
• Decision Modeling - Understand advanced statistical concepts used to contribute to the development of stress tested deployable machine learning algorithms (Logistic Regression, Xgboost, Neural Networks, etc.).
• Leadership and Teamwork - Participate in a collaborative and productive team environment and take charge of technical and self development.
• Problem Solving - Utilize hypothesis based problem solving to deliver pragmatic resolutions to business problems.
• Statistical Programming - Execute and contribute to version controlled code and make use-case-specific modifications as needed. Manipulate and work with unstructured/structured, small and big data.

Primary Location:

ESP-Madrid Castellana

Function:

Function - Data and Analytics

Schedule:

Full time