Data Scientist optimizing payments ecosystem for Preply, enhancing user experience through data - driven insights. Collaborating with teams to improve payment processes and fraud management.
About the role
- 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)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Staff Data Scientist at Preply developing data strategies for product domains. Collaborating with executives to drive long - term strategy and experimentation frameworks.
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