Leads end-to-end data science projects from ideation to deployment, building scalable ML models and pipelines to drive business impact. Requires 5+ years in ML, Python data stack, cloud infrastructure, and strong communication skills.
About the role
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 a wide range of audiences: from Perpay's leadership team to non-technical peers
- Contribute to defining standards and best practices concerning workflow and adoption of new technologies within the Data Science team
- Act as an informal mentor peers
What You’ll Bring
- 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
- Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics)
- 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
- Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.)
- Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization
*Internships not included
Nice to have
- 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.
- Experience with scalable compute frameworks such as Spark or Polars
- Experience with deployment frameworks such as Kubernetes
What We’ll Bring to Full-time Team Members
- Meaningful compensation and equity
- Premium medical benefits (fully paid base plan, and very reasonable premium for the buy-up option)
- 4% employer 401k match
- Unlimited PTO policy
- Remote weeks around major holidays + extra holiday on weekends like MDW and LDW
- High quality catered lunch by local chefs, 4 days / week
- Gym subsidy
- Paid cell phone + plan
- Student loan repayment program
- Relocation assistance
- Generous team member discounts
Skills
Pythonscikit-learnpandasNumPyMatplotlibTerraformCloud FormationTensorFlowPyTorchSparkPolarsKubernetesMachine LearningDeep Learning