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Vaga de Data Scientist
McKinsey & Company em São Paulo - SP

Descrição da Vaga

Data Scientist - Advanced Analytics

Who You'll Work With

You’ll work with our Analytics group in São Paulo, Brazil. As a member of this team, you’ll work with McKinsey consulting teams to carry out complex data analysis and modeling, creating a foundation for sound recommendations for client studies and internal projects.

What You'll Do

You will work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients and consulting teams.

This includes collaborating on problem definition, data acquisition, data exploration and visualization, feature engineering, experimenting with ML algorithms, evaluating and comparing metrics, deploying the models, iteratively improving the solution, and building the tools for this process, etc.

You will work with data from diverse structured and unstructured data sources in both batch and streaming modes. You will work with consultants, clients or internal teams to prepare complex data analyses and models that help solve client problems and deliver significant measurable impact. You will often be responsible for the entire analytical process – from outlining the type of solution through implementation, interpretation of results and transferring capabilities to the client or colleagues.

You will constructively discuss your findings in collaboration with consultants and clients while always looking for the best solution. Some work at the client site is expected. Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.


  • University degree and excellent academic record required
  • Ph.D degree in Computer Science is highly desired
  • Candidates with a Ph.D in other quantifiable fields (e.g., Statistics, Mathematics, Physics) with applied practical experience and programming background are also desirable
  • Experience in Computer Science, Engineering, Statistics, Physics, Mathematics, Operations Research or equivalent technical field
  • 2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
  • Ability to independently own and drive model development, balancing demands and deadlines
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Proficiency in R, SAS, SPSS or other statistical package
  • Experience in working with large datasets and relational databases is highly desirable (SQL)
  • Knowledge of additional programming languages is a plus (Python, C++, Java)
  • Exceptional analytical and quantitative problem-solving skills
  • Ability to work collaboratively in a team environment
  • Ability to work effectively with people at all levels in an organization
  • Ability to communicate complex ideas effectively – both verbally and in writing – in English and Portuguese.
  • Willingness to travel
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Avaliações da McKinsey & Company

Satisfação geral dos funcionários

  • Remuneração e benefícios
  • Oportunidade de carreira
  • Cultura da empresa
  • Qualidade de vida

Recomendam a empresa a um amigo

  • Há quase 3 anos

    Longas horas e ambiente pesado

    Business AnalystEx-funcionário, saiu em 2014

    São Paulo, SP

    Prós: Colegas bastante inteligentes em geral. Possibilidade de adquirir conhecimento em vários setores. Cai bem no currículo.

    Contras: Rotina de trabalho terrível e desmotivadora. Muita pressão e muito tempo em viagem para outras cidades. Incontáveis finais de semana e noites de sono perdidos trabalhando.

    Recomenda a empresa: Não

  • Há mais de 1 ano

    Vale a pena!

    Business Analyst

    São Paulo, SP

    Prós: Aprendizado intenso, desafios e exposição a liderança. Experiência de trabalhar com pessoas incríveis, a empresa proporciona um grande avanço na carreira.

    Contras: Principais problemas estão relacionados a longas horas de trabalho. De maneira geral a cultura de trabalho é muito boa, mas ainda exige grande dedicação

    Recomenda a empresa: Sim