Remote Math Expert - Data Modeling & Analytics

Quik Hire Staffing; Pordenone; Remoto; EUR 74.000 - 113.000; Tempo pieno

Descrizione del lavoro

Quik Hire Staffing is seeking a Mathematics Expert for a fully remote, full-time role to develop mathematical frameworks for data-driven decision making. You will apply advanced mathematical principles to optimize algorithms and address analytical challenges.

Responsibilities include designing models, validating them with statistics, collaborating with cross-functional teams, documenting methodologies, and presenting findings to diverse audiences.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Applied mathematics

Calculus

Linear algebra

Probability theory

Statistical modeling

Hypothesis testing

Python

R

MATLAB

Data visualization

Large datasets

Algorithm optimization

Strumenti

Python

R

MATLAB

Descrizione del lavoro

Quik Hire Staffing is seeking a Mathematics Expert for a fully remote, full-time role to develop mathematical frameworks for data-driven decision making. You will apply advanced mathematical principles to optimize algorithms and address analytical challenges.

Responsibilities include designing models, validating them with statistics, collaborating with cross-functional teams, documenting methodologies, and presenting findings to diverse audiences.