As a Senior Product Data Scientist at Monzo, you will help build the bank of the future. Applying your expertise in quantitative analysis and data mining, you'll understand user interactions with products and inform product strategy. You'll guide product teams, run A/B experiments, and collaborate with finance to understand user lifetime value and feature impact.
Develop and validate time series forecasting models for predicting demand, performance, or other business metrics. Build and evaluate traditional machine learning models for prediction and segmentation tasks. Clean, preprocess, and integrate data from diverse sources. Collaborate with stakeholders and translate business needs into analytical solutions. Document and present results clearly.
AmaliTech is seeking a Data Engineer to design, develop, and optimize data pipelines. The role involves assembling complex datasets, collaborating with data teams, and ensuring data quality. The work contributes to improving decision-making and operational efficiency across the organization.
We are looking for a Senior Data Science to join one of our USA Clients, a start-up working on an exciting climate change project. You will be part of a dynamic team building an AI-powered analytics and data platform to help reduce the carbon footprint of industrial manufacturing. Your work will focus on our back-end data pipeline and analytics stack, and you will be responsible for building a range of features and data services.
The Data Science team at Cash App derives valuable insights from our unique datasets and turns those insights into actions that improve the experience for our customers and agents every day. In this role, you’ll be embedded with Risk Operations in our Risk organization and work closely with the Behavioral Insights Team.
Play a pivotal role in ensuring the seamless delivery and optimization of our product for our esteemed retail clientele. Dive into a world of problem-solving and collaboration, where your technical prowess and excellent communication skills will be key in driving the success of our service and application features as well as its quality and performance. Work with existing retail customers to configure and update the product.
We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.
Build and integrate data pipelines for ingesting data, processing and serving features in real-time in a high throughput/low latency environment. Support multiple data models that serve critical data for FinCrime products (ML models, risk engine, etc.). Own our Feature Store development, expanding our feature engineering capabilities for stateless and stateful data for both offline and online serving.
This position is fully remote, reporting to the VP of Operations. You will lead, mentor, and grow a high-performing team responsible for the end-to-end implementation and ongoing maintenance of data feeds from carriers, TPAs, PBMs, and benefits administration systems.
The Senior Data Architect focuses on designing the blueprint of the entire data management framework, setting the vision, policies, practices, and standards that govern the use of data across an organization. Responsibilities include constructing data pipelines that transform and transport data from various sources so that it can be used by Data Analysts and Data Scientists efficiently and effectively.