Perpay is looking to solve business and technical problems by leveraging data science and machine learning expertise to support new and existing product initiatives, shape the future of the data science team, and develop scalable processes and systems for a rapidly growing business.
Requirements
- 5+ years of experience* and expertise applying machine learning techniques in industry
- 5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry
- 5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs)
- 5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation
- Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.)
- Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc.
- Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc.
Responsibilities
- Drive the end-to-end completion of data science initiatives, collaborating with stakeholders from ideation through execution, ensuring projects deliver strong impact to our customer’s financial lives and the health of the business
- Proactively identify opportunities for the data science team to improve and expand Perpay’s business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter expertise of Perpay’s business model
- Support the growth of the business by delivering scalable models and algorithms while maintaining and troubleshooting existing resources
- Deploy and maintain real-time model inference resources and infrastructure
- Deploy and maintain machine learning pipelines including batch processing and continuous training architecture
- Contribute to the cross-discipline adoption and responsible use of AI/LLM models and services at Perpay
- Present results and analyses to the a wide range of audiences: from Perpay's leadership team to non-technical peers
Other
- Excellent communication skills, across a range of audiences from technical to non-technical
- Strong business acumen, demonstrated through subject matter expertise in at least one industry
- Capable of managing projects “end to end” including managing project scope, timelines and workloads
- Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization
- This is not a remote opportunity; it is 100% onsite
