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 II using data science techniques for actionable insights. Working with cross-functional teams to resolve data issues and innovate analytical solutions.
Responsibilities
- The Data Scientist II is responsible for collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.
- Resolve outstanding data issues and create innovative solutions
- Conduct ongoing data mining to ensure artifacts provide value, including root cause variance analysis
- Work autonomously within a specialized business management function and may provide work direction to others
- Provide seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
- Undertake and complete a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise
Requirements
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- Graduate's degree preferred with either progressive project work experience, or; 3+ years of relevant experience
- SQL Developer
- Python
- Previous AML/Sanctions Screening experience is preferred but not mandatory
- Degree in a quantitative field (mathematics, statistics, computer science, data science, data analytics, etc.)
- Some experience navigating large data sets and ability to extrapolate technical/complex issues
- Hands-on experience in developing SQL relational tables, OLAP cubes, data marts
- Ability to manage and optimize database and data warehouse systems
- Critical thinking, analytical thinking, attention to detail, integrity
Benefits
- Total Rewards package includes base salary and variable compensation/incentive awards
- Health and well-being benefits
- Savings and retirement programs
- Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
- Banking benefits and discounts
- Career development opportunities
- Reward and recognition programs
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