Data Science Consultant: Predictive Modeling & Analytics

Management Solutions, SL; Santiago; Presencial; CLP 6.696.000 - 10.044.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Training plan

Defined career plan

University collaboration

Community social action

Sports club tournaments

Descripción de la vacante

Management Solutions, SL invites recent graduates or final-year students to contribute to key projects in data mining and knowledge discovery, predictive modeling, trend modeling, Monte Carlo simulations, and support to credit rating and scoring models.

You will work in multidisciplinary teams across leading organizations, benefiting from an extensive training plan, language courses, and a defined career path toward partnership and leadership roles.

Formación

• Recent graduates or final year students.
• Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering).
• Knowledge of statistical programming languages (SAS, R, Python, Matlab).
• Knowledge of big data tools and platforms (Hadoop, Hive).
• Solid academic record.
• Postgraduate studies in Data Science or Quantitative Finance are assets.
• Knowledge of other languages is desirable.
• Get up and go attitude, maturity, responsibility and strong work ethic.
• Able to integrate easily into multidisciplinary teams.

Conocimientos

Modeling techniques

SAS/R/Python/Matlab

Big data tools

Learn quickly

Team integration

Work ethic

Educación

Solid academic record

Postgraduate studies in Data Science/Quantitative Finance

Herramientas

Hadoop

Hive

Descripción del empleo

Management Solutions, SL invites recent graduates or final-year students to contribute to key projects in data mining and knowledge discovery, predictive modeling, trend modeling, Monte Carlo simulations, and support to credit rating and scoring models.

You will work in multidisciplinary teams across leading organizations, benefiting from an extensive training plan, language courses, and a defined career path toward partnership and leadership roles.