Data Scientist helping Qliro develop payment solutions through machine - learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision - making capabilities.
About the role
- Data Scientist developing analytics and machine learning models for business operations at Wizeline. Collaborating with cross-functional teams to enhance data models and decision-making capabilities.
Responsibilities
- Work closely with talented data analysts, data engineers, software engineers, and business groups.
- Analyzing and translating business needs into long-term solution data models, utilizing code for analyzing data, and building statistical and machine learning models and algorithms.
- Evaluating implemented data systems for variances, discrepancies, and efficiency.
- Supporting decision-making by providing requirements to develop analytic capabilities, platforms, pipelines, and metrics then using them to analyze trends and find root causes of model inaccuracy.
Requirements
- Background in any of these areas: Statistics and Applied Math, Computer Science, Finance, and Economics.
- Python/R/Scala and SQL, demonstrating best practices for data coding to ensure consistency.
- English Proficiency
- 5+ years of experience working in the Data Science field
- Data-focused applied mathematics (statistical analysis)
Benefits
- Competitive compensation
- industry-leading maternity and paternity leave
- wellness programs
- remote work opportunities
- continuous learning opportunities through Wizeline Academy, including cloud certifications, mentorship, LinkedIn Learning, Udemy, and in-house technical bootcamps developed by our experts in the field.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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