Investigador Senior - Modelado Predictivo y Simulación

Placements24; Mérida; Ibrido; MXN 1.688.000 - 2.439.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Hybrid Mérida-based role

Professional development program

Descrizione del lavoro

Placements24 is partnering with a leading analytics and strategic consulting firm to hire a Senior Investigator in Mérida, Yucatán. The role focuses on predictive modeling and simulation to solve complex business problems and guide strategic decisions for diverse clients.

The ideal candidate holds a Master’s or PhD in a quantitative field and has 5+ years of experience, with strong expertise in R, Python, SQL, and advanced statistical methods.

Competenze

• Master's or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field.
• 5+ years of professional experience in developing predictive models and simulations.
• Strong proficiency in R, Python, SQL and related libraries.
• Deep understanding of statistical modeling and ML techniques.
• Hybrid Mérida-based role with ability to work independently and with teams.
• Excellent analytical, problem-solving and communication skills.

Mansioni

• Develop, validate, and deploy advanced predictive models using statistical and ML techniques.
• Design and implement simulation models to evaluate strategies and scenarios.
• Analyze large datasets to identify drivers, patterns, and anomalies.
• Collaborate with consultants and clients to translate challenges into modeling requirements.
• Communicate findings clearly to technical and non-technical audiences.
• Stay current with the latest research in predictive modeling and data science.
• Develop best practices and tools for modeling and simulation within the firm.
• Mentor junior analysts and researchers in quantitative methods.

Conoscenze

Statistical modeling

Machine learning

Data analysis

Communication skills

Formazione

Master's or PhD in Statistics, Mathematics, Economics, OR, CS

Strumenti

R

Python (pandas, scikit-learn, NumPy)

SQL

Simulation software

Descrizione del lavoro

About the Role

Our client, a leading firm in advanced analytics and strategic consulting, is seeking a highly analytical Investigador Senior specializing in Modelado Predictivo y Simulación to join their growing Investigación y Desarrollo team. This role, based in our vibrant Mérida, Yucatán office, operates under a hybrid work arrangement, offering a balance of collaborative team interaction and focused remote work. You will be responsible for developing sophisticated predictive models and simulation frameworks to solve complex business problems, forecast future trends, and optimize strategic decisions for our diverse clientele. We are looking for a mathematically inclined individual with a passion for translating data into actionable insights and foresight.

Key Responsibilities

• Develop, validate, and deploy advanced predictive models using statistical and machine learning techniques (e.g., regression, time series analysis, classification, deep learning).
• Design and implement simulation models (e.g., Monte Carlo, agent-based modeling) to evaluate the impact of different strategies and scenarios.
• Analyze large and complex datasets to identify key drivers, patterns, and anomalies.
• Collaborate with consultants and clients to understand business challenges and translate them into modeling and simulation requirements.
• Communicate complex findings and model insights clearly and concisely to technical and non-technical audiences through reports and presentations.
• Stay current with the latest research and methodologies in predictive modeling, simulation, and data science.
• Contribute to the development of best practices and tools for modeling and simulation within the firm.
• Mentor junior analysts and researchers in the application of quantitative methods.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Economics, Operations Research, Computer Science, or a related quantitative field.
• 5+ years of professional experience in developing predictive models and simulations.
• Strong proficiency in statistical software and programming languages such as R, Python (with libraries like pandas, scikit-learn, NumPy), and SQL.
• Deep understanding of various statistical modeling and machine learning techniques.
• Experience with simulation software or platforms is highly desirable.
• Excellent analytical, problem-solving, and quantitative reasoning skills.
• Strong presentation and communication skills, with the ability to convey complex quantitative concepts effectively.
• Ability to work independently and collaboratively in a hybrid team setting in Mérida.

Benefits

• We offer a competitive salary, comprehensive health and wellness benefits, and a robust professional development program including training and conference attendance.
• Our hybrid work model in Mérida supports a flexible work-life balance.
• Employees have the opportunity to work on diverse and challenging projects across various industries, contributing to high-impact strategic decisions.