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Data Science Consultant Sao Paulo

2 meses atrás

São Paulo, São Paulo, Brasil Management Solutions, S.L Tempo inteiro
About the Role

We are seeking a highly skilled Data Science Consultant to join our team in Sao Paulo. As a Data Science Consultant, you will be responsible for working on key projects for leading organizations in data mining and knowledge discovery, predictive modeling, trend modeling, and simulation models.

Key Responsibilities
  • Develop and implement data-driven solutions to drive business growth and improvement
  • Collaborate with cross-functional teams to design and implement data analytics and visualization solutions
  • Conduct data analysis and modeling to identify trends and patterns
  • Develop and maintain complex data models and algorithms
  • Communicate complex technical information to non-technical stakeholders
Requirements
  • Recent graduates or final year students from disciplines relating to mathematics, physics, statistics, econometrics, or other quantitative fields
  • Postgraduate studies and/or specialized courses in data science, quantitative finance, or similar
  • Strong knowledge of modeling techniques, statistical programming languages, and big data tools and platforms
  • Solid academic record and strong computer skills
  • Ability to learn quickly and integrate easily into multidisciplinary teams
What We Offer
  • Ongoing training plan with approximately 10% of business turnover spent in 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 offering opportunities for professional growth and development
About Us

Management Solutions is an international consulting firm delivering business, risk, financial, organizational, and process-related advisory services. We believe in equal opportunities and consider all qualified applicants for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, or any other characteristic protected by law.