Hybrid Mid-level Data Scientist

at Sicredi

• Job title: Mid-level Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Azure, Cloud, Google Cloud Platform, Pandas, Python, Scikit-Learn
• Location requirements: Hybrid, Porto Alegre, Brazil

About the role

• Data Scientist developing predictive models for fraud prevention and threat intelligence. Collaborating with data engineers and business analysts to support strategic decision-making in information security.

Responsibilities

• 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).