Build robust, efficient and integrated data models that enable our collections process to scale. These data models will serve as the foundation of our collections strategy, allowing the team to monitor key performance metrics including account volumes, charge-offs, promise-to-pay rates, recovery rates, and contact effectiveness.
As an Analytics Engineer at Phamily, you’ll transform raw healthcare data into trusted insights that drive smarter decisions across our organization. You’ll design clean, scalable data models, build a governed semantic layer in Looker, and empower teams to self-serve key business metrics. This is a highly visible role where you’ll shape how data fuels proactive healthcare.
This role involves designing and scaling Quora's existing data infrastructure, improving system’s reliability, working closely with other teams to improve or create new tooling for our infrastructure, and promoting the correct use of data at the company. You'll be optimizing and enhancing our company’s data architecture/pipelines to support our next generation data initiatives.
You'll be responsible for building and maintaining our data infrastructure that powers analytics, machine learning, and business intelligence across the company. Your work will directly impact both our internal operations and our developer community through data-driven insights and products. We're seeking teammates who share our commitment to open source and would contribute to our developer-focused culture.
Seeking a skilled AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with experience in developing algorithms and models that leverage large datasets. Responsible for designing, implementing, and optimising machine learning solutions to solve complex problems and enhance our product offerings.
As a Data Engineer at Phamily, you’ll own the pipelines and infrastructure that power our AI-driven virtual care platform. You’ll build automated data workflows that ingest, standardize, and deliver healthcare data into our product and analytics environment. You’ll also support the operationalization of ML/AI tools and keep essential reference datasets accurate and up to date.
As a Data Engineer you will design and maintain a reliable, scalable data infrastructure that ensures the right information is available when and where it’s needed; you will also take ownership of keeping our data secure, compliant, and high-performing, while also putting processes in place for backup and recovery. This position is responsible for building scalable, automated data pipelines that ensure reliability, security, and performance across all aspects of the business.
Join the team as Twilio’s next Senior Data Analyst. As a Senior Data Analyst, you will play a key role in driving data-driven decision-making and optimizing revenue operations processes, utilizing advanced analytical techniques to analyze large datasets and extract meaningful insights.
The Swish Analytics team is seeking Senior Data Engineers to have direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings. You will find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Defining and ensuring execution of the backbook risk strategy and defining the company’s risk appetite in collaboration with Affirm’s Credit Risk, Compliance, Machine Learning, Product, Engineering, Operations, Growth Analytics, and Finance Teams. Developing and continually refining robust forecasting for backbook risk incorporating impact from strategy modifications and statistical analyses being implemented by Risk, Machine Learning, and Product.