Data Science Consultant Sao Paulo

Management Solutions, S.L; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading consulting firm in São Paulo is seeking a Data Science Consultant to work on high-profile projects in data mining and predictive modeling. This role requires recent graduates in quantitative fields, offering a structured career plan and extensive training opportunities. The ideal candidate will possess programming knowledge in SAS, R, and Python, alongside a strong work ethic and ability to work in teams. Competitive benefits and a supportive environment for professional growth are provided.

Serviços

Ongoing training plan

Clearly defined career plan

Complementary experiences (e.g., sports club)

Community support activities

Qualificações

• Recent graduates with a solid academic record.
• Get-up-and-go attitude, maturity, and strong work ethic.
• Ability to integrate into multidisciplinary teams.

Responsabilidades

• Work on key projects in data mining & knowledge discovery.
• Employ predictive modeling and trend modeling.
• Support business and R&D projects with quant analysis.

Conhecimentos

Statistical programming languages (SAS, R, Python, Matlab)

Knowledge of modeling techniques (logit, GLM, time series)

Big data tools (Hadoop, Hive)

Strong computer skills

Knowledge of other languages

Formação académica

Graduated or final year student in Mathematics, Physics, Statistics or related fields

Postgraduate studies in Data Science or Quantitative Finance

Descrição da oferta de emprego

Brazil DATA SCIENCE CONSULTANT SAO PAULO São Paulo / Graduate / Number of vacancies : 5

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

• 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 375.000 hours of training spanning more than 150 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 experiences

• 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.

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.