Data Scientist at Sicredi focusing on data science and AI for payment systems. Analyzing data and developing predictive models to enhance product strategies.
Responsibilities
Analyze large datasets to extract relevant insights
Develop predictive models aligned with product teams' needs
Research and propose new modeling methodologies appropriate for the project
Continuously engage with interfacing areas to keep all stakeholders informed and aligned
Propose studies and impact indicators related to business health and member success
Oversee the model lifecycle, including deployment, monitoring and governance
Act as a promoter of data science by sharing and expanding knowledge and contributing to the organization’s data culture
Requirements
Previous experience with Machine Learning or Statistical Modeling
Ability to work effectively in multidisciplinary teams
Experience with Python
Preferably a degree in a quantitative field such as Computer Science, Economics, Engineering, Statistics, Mathematics or related areas
Desirable experience in Data Science applied to Payments (Cards, Pix, and transit fare tags)
Desirable experience with Databricks
Experience with Natural Language Processing is a plus
Experience with Computer Vision is a plus
Experience with MLOps is a plus
Experience with generative AI
Benefits
Fixed 14th and 15th-month salary payments
Profit-sharing (based on seniority)
Health and dental plans with no co-pay
Wellness programs through Wellhub (formerly Gympass): Nutrition, Psychology, Occupational Health, Massage, running group and local gym
Meal and food vouchers — flexible allocation percentage between meal and food cards (VA/VR), no co-pay
Extended maternity and paternity leave
Childcare or nanny assistance 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
Telework allowance (except for positions that are 100% on-site)
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