Quantifind is a data science technology company focused on combating financial crimes through innovative solutions. They are seeking an Associate Data Scientist to develop and implement machine learning solutions, collaborate with teams, and support customers in utilizing their platform effectively.
Responsibilities:
- Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform Engineers to explore ideas, test hypotheses, and prototype solutions
- Working in an agile environment breaking down complex problems into smaller manageable tasks with the help of your teammates and manager
- Leveraging SQL, Python and PySpark to analyze large unstructured data sets to answer key business questions, inform research directions, or set up modeling tasks
- Designing, writing, and maintaining ETL pipelines for integrating large and complex datasets
- Experimenting with novel ways to use existing data-based solutions to support customers’ unique challenges
- Training machine learning models to solve complex problems
- Implementing Data Science solutions in our Production Scala codebase following software engineering best practices
- Leveraging Large Language Models (LLMs) to scale up various data science tasks (for example: data labeling, extracting structured information, …)
- Participating in code reviews