Hybrid Mid-level Data Scientist

Posted 2 weeks ago

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About the role

  • Develop predictive models and statistical analyses to support strategic decision-making related to information security and fraud prevention.
  • Collaborate with data engineers and business analysts to structure data, validate hypotheses, and ensure model applicability.
  • Conduct exploratory analyses, formulate key questions, and present results clearly and accessibly.
  • Translate business rules into features and variables relevant for modeling.
  • Document deliverables and contribute to promoting a data-driven culture across the organization.
  • Participate in training and mentoring initiatives, supporting the technical development of other data scientists.

Requirements

  • Experience with Python for data analysis and building predictive models.
  • Knowledge of supervised and unsupervised machine learning techniques.
  • Experience with data analysis tools such as Pandas, Scikit-learn and Jupyter.
  • Ability to communicate clearly with technical and non-technical stakeholders.
  • Experience working collaboratively with data engineers and business analysts.
  • Knowledge of information security or interest in working on fraud prevention.
  • Experience with platforms such as Databricks or cloud environments (AWS, GCP, Azure).
  • Knowledge of MLOps and the predictive model lifecycle.
  • Familiarity with versioning and automation tools (e.g., Git, Airflow).
  • Participation in data communities or diversity initiatives in technology.
  • Experience with data visualization and analytical storytelling.

Benefits

  • 14th and 15th fixed salary payments.
  • Profit-sharing / performance-based bonuses (depending on seniority).
  • Health and dental plans with no copayment.
  • Well-being programs through Wellhub (formerly Gympass): nutrition, psychology, occupational health, massage, running group and access to a local gym.
  • Meal and food vouchers with flexible percentage allocation between cards (VA/VR), no copayment.
  • Extended maternity and paternity leave.
  • Childcare or nanny allowance for children up to 6 years and 11 months.
  • Support for children with disabilities, no age limit.
  • Life insurance.
  • Private pension plan up to 7% of salary.
  • Training platform – Sicredi Aprende, offering a variety of courses.
  • 40-hour workweek – using a time bank system.
  • Remote work allowance (except for positions requiring 100% on-site presence).

Job title

Mid-level Data Scientist

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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