Job Title: Data Science Consultant
Location: Ciudad de México, Mexico City
Number of Vacancies: 5
You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (Monte Carlo), review of credit rating and scoring models, and quant support to the business and R&D projects.
Requirements:
Recent graduates or final year students.
Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools and platforms (Hadoop, Hive, etc.).
Solid academic record.
Strong computer skills.
Postgraduate studies and/or specialized courses are an asset, especially in Data Science, Quantitative Finance, or similar.
Knowledge of other languages is desirable.
Get up and go attitude, maturity, responsibility, and strong work ethic.
Strong ability to learn quickly.
Able to integrate easily into multidisciplinary teams.
We Offer:
The best environment to develop talent.
Working in the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets.
Ongoing training plan, with approximately 10% of business turnover spent on training.
Specialist knowledge courses, external expert courses, professional skills courses, and language courses.
Clearly defined career plan with internal promotion based solely on merit.
Partnership-based management model offers all professionals the opportunity to become part of the Firm's group of partners.
For more information about Management Solutions and the professional careers we offer, we invite you to visit our website at: www.managementsolutions.com
At Management Solutions, we believe in equal opportunities. In our selection process, all qualified applicants are equally considered for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, and any other characteristic protected by law.
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