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We are seeking a Senior Data Scientist to be one of the first data science hires for our newly formed ML team. This is a unique ground-floor opportunity to build our data science capabilities from scratch and have direct influence on our analytical and modeling approaches. This role combines advanced data science expertise with foundational contributions, requiring someone who can develop sophisticated models, conduct deep analytical research, and help establish the data science methodologies that will guide the team as we scale. As one of our founding data scientists, you'll work closely with our Tech Lead to shape our modeling approaches, define our analytical standards, and build the fundamental data science skill set for future hires.
What You'll Do:
Build foundational data science capabilities: As one of our first data science hires, work with the Tech Lead to develop core modeling methodologies, analytical frameworks, and research practices
End-to-end model development: Take ownership of complete ML model lifecycle - from initial research and experimentation through production deployment and monitoring
Build impactful models: Design, develop, and deploy machine learning models that solve complex business problems across payments, risk, and customer analytics
Define analytical standards: Help establish best practices for data exploration, feature engineering, model validation, and statistical analysis
Conduct deep research: Lead exploratory data analysis and research initiatives to uncover insights and identify ML opportunities across the business
Partner with stakeholders: Work closely with business teams to understand requirements, translate problems into data science solutions, and communicate findings effectively
Establish model development practices: Help set up our approach to model experimentation, A/B testing, and performance monitoring
Shape data science culture: Contribute to establishing the team's analytical rigor, documentation standards, and knowledge-sharing practices
Drive innovation: Research and evaluate new ML techniques, algorithms, and approaches that could benefit our business use cases.

We are looking for a versatile, autodidact Senior DevOps Engineer - someone who learns fast, thinks laterally, and isn't afraid to pivot mid-stream when the mission changes.
You are independent and accountable, but you thrive in a collaborative ecosystem. If youre a service-oriented problem solver who views "infrastructure as code" as a craft, we want to talk.
What You'll do:
As a core member of our infrastructure team, you will bridge the gap between development and operations, ensuring our hybrid-cloud environment is seamless, scalable, and resilient.
Architect & Implement: Lead the design of hybrid-cloud solutions with a heavy focus on cloud best practices.
Own the Production: Take full accountability for production environments, ensuring 24/7 stability, availability, and performance.
Automate Everything: Replace manual toil with elegant automation using Terraform, Crossplane, and Ansible.
Bridge the Hybrid Gap: Maintain and optimize application layers across both cloud and private cloud environments.
Cross-Functional Partnership: Collaborate with Product, QA, and Dev teams to streamline CI/CD pipelines and remove delivery bottlenecks.
Resilience: Participate in a rotating On-Call schedule to keep our high-volume systems humming.