Experto en Matemáticas Aplicadas para Análisis de Datos

Procesia; Cádiz; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Procesia is seeking a Mathematics Expert on a full-time basis to develop mathematical frameworks for data-driven decision making. You will design models to improve predictive accuracy, collaborate across teams, and validate models using real-world data.

The role emphasizes translating business problems into mathematical solutions and documenting methodologies for stakeholders while leveraging Python, R, or MATLAB and handling large datasets.

Formación

• Strong foundation in applied mathematics, including calculus, linear algebra, and probability theory.
• Experience with statistical modeling and hypothesis testing.
• Proficiency in programming languages such as Python, R, or MATLAB for mathematical computations.
• Ability to implement mathematical algorithms in scalable codebases.Familiarity with data visualization tools to communicate complex results effectively.
• Experience working with large datasets and optimizing computational efficiency.

Responsabilidades

• Design and refine mathematical models to enhance predictive accuracy for client datasets.
• Collaborate with cross-functional teams to translate business problems into mathematical solutions.
• Validate and test mathematical models using statistical methods and real-world data.
• Document methodologies, assumptions, and results for internal and external stakeholders.
• Present findings and recommendations to technical and non-technical audiences.

Conocimientos

Applied mathematics

Calculus

Linear algebra

Probability theory

Statistical modeling

Hypothesis testing

Python

R

MATLAB

Algorithms in code

Data visualization

Large datasets

Performance optimization

Herramientas

Python

R

MATLAB

Descripción del empleo

Procesia is seeking a Mathematics Expert on a full-time basis to develop mathematical frameworks for data-driven decision making. You will design models to improve predictive accuracy, collaborate across teams, and validate models using real-world data.

The role emphasizes translating business problems into mathematical solutions and documenting methodologies for stakeholders while leveraging Python, R, or MATLAB and handling large datasets.