Jobs at One Six Solutions

• Design, build, and validate predictive models, from GLMs and causal/econometric methods to deep learning-based forecasting, to answer questions about user behavior, retention, and business performance.
• Apply causal inference techniques (quasi-experimental design, uplift modeling, propensity metho...

• Remote location flexibility
• Must be able to work CST Hours

• Own client engagements end-to-end: scope the problem, build the solution, manage expectations, and deliver
• Lead small project teams and serve as the technical and strategic point of contact for clients

• Research, design, and build ML models across a range of use cases — we work with clients across industries and problem types
• Work across the full deployment spectrum: managed cloud ML platforms (SageMaker, Vertex AI, Azure ML) and containerized solutions built from scratch in Python on raw infrastructure

• Data Engineering & Development

Develop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.
Design and implement efficient data models, data warehouses, and data lakes optimized for financial reporting and analytics.
Optimize performance, scalability, and reliability of data storage and processing systems.
Monitor data pipelines and troubleshoot issues promptly to minimize downtime.