DATA SCIENCE CONSULTANT SAO PAULO

Management Solutions; São Paulo; On-site; BRL 45,000 - 65,000; Full time

Job summary

Management Solutions seeks a motivated quantitative graduate to contribute to data mining and knowledge discovery projects, including predictive modeling, trend modeling, Monte Carlo simulations, and credit rating model reviews to support business and R&D.

Candidates should hold a quantitative degree, know modeling techniques (logit, GLM, time series, trees, random forests) and statistical languages (SAS, R, Python, Matlab), plus familiarity with Hadoop/Hive.

Qualifications

• Graduates in Mathematics, Physics, Statistics, Econometrics or related quantitative fields.
• Postgraduate studies are an asset.
• Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering).
• Statistical programming languages: SAS, R, Python, Matlab; big data tools: Hadoop, Hive.

Responsibilities

• Engage in data mining and knowledge discovery projects.
• Develop predictive and trend models; perform Monte Carlo simulations.
• Review and support credit rating and scoring models for business and R&D initiatives.

Skills

Quantitative mindset

Team integration

Fast learner

Strong work ethic

Education

Recent quantitative degree

Postgraduate studies asset

Tools

SAS

R

Python

Matlab

Hadoop

Hive

Job description

You will be working in 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 from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields.
• Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
• Should desirably have 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.
• 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

We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest:

• Working in the highest-profile consulting projects in the industry,
• for the largest companies, leaders of their respective markets,
• alongside top industry management as they face challenges at the national and global level,
• as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry

Ongoing training plan, with approximately 10% of business turnover spent in training

• Specialist knowledge courses, external expert courses, professional skills courses and language courses.
• Last year our staff as a whole received over 400.000 hours of training spanning more than 160 courses.
• Every Senior Consultant is enrolled in a Training Program in Business offered by INSPER.

Clearly defined career plan

• 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.

Complementary experiencies

• University: we maintain a close relationship with the world’s most prestigious universities.
• Social Action: we organize more than 30 community support activities.
• Sports Club: internal and external tournaments.

For more information about Management Solutions and the professional careers we offer, we invite you to visit your 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.