Data Scientist Junior at Cogna developing predictive models for educational solutions. Collaborating with diverse teams and utilizing Big Data and Machine Learning techniques in São Paulo.
About the role
- Lead Data Scientist responsible for developing advanced data science models at PayPal. Collaborating with stakeholders and mentoring junior scientists in a fast-paced environment.
Responsibilities
- Lead the development and implementation of advanced data science models.
- Collaborate with stakeholders to understand requirements.
- Drive best practices in data science.
- Ensure data quality and integrity in all processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends in data science.
- Conduct thorough analysis with all available data tools and provide detailed insights which can be transformed into risk strategies that balances risk/reward trade-offs.
- Set up detailed portfolio monitoring to ensure there is no fraud pressure and work with peers to mitigate fraud with a high level of urgency.
- Continuously manage credit exposure and conduct sensitivity testing to optimize strategy.
- Work closely to evaluate internal models and implement them in our risk strategies.
- Partner with product and platform team to execute risk strategies and conduct A/B testing to optimize onboarding funnel.
Requirements
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- 5+ years of experience in financial technology, banking, or payments in developing and implementing risk strategies to mitigate losses.
- Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth.
- Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition.
- Well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure.
- Demonstrated ability to build/maintain relationships with key stakeholders to execute the risk roadmap.
Benefits
- Flexible working environment
- Employee shares options
- Health and life insurance
- Wellness programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
Data Scientist driving feed relevance and recommendations for creator engagement at Patreon. Collaborating cross - functionally to enhance metrics and content discovery.
Intern supporting Digital Data Science and Analytics team at adidas. Engaging in data analytics tasks, project contributions, and collaborating on insights generation.
Data Scientist at BECU developing predictive models for member engagement and financial well - being. Collaborating with cross - functional teams to enhance services using advanced analytics and data - driven strategies.
Senior Data Scientist at BECU designing predictive models and data solutions for strategic decision - making. Collaborating with cross - functional teams to elevate data science capabilities.
Senior Data Scientist responsible for AI and data science projects at CloudPay. Collaborating on innovative payroll and HR solutions, enhancing client experiences through technology.
Nordic Data Lead architecting data platforms for Carglass. Leading the migration of Nordic solutions into an enterprise - grade data platform.
Senior Product Manager leading data science initiatives at The Zebra. Transforming models into seamless customer experiences while collaborating with teams for product success.
Senior Data Scientist at The Zebra tackling data science opportunities and collaborating cross - functionally to improve insurance personalization.
Data Lead for unifying Nordic data solutions into a global data platform at Carglass. Involving data engineering, architecture, and stakeholder engagement to drive analytics innovation.