Drive data-driven decision-making and process optimization by developing analytics models and enhancing reporting tools. The analyst will ensure seamless operations throughout the Amazon Prime activation process and collaborate cross-functionally with teams like Merchandising, FP&A, and Planning to align strategies and monitor performance.

Support cross-functional teams in optimizing automated workflow processing. You will oversee and maintain operational workflows to meet processing and service level targets, troubleshoot issues, coordinate resolutions with internal teams, and communicate status updates to external stakeholders.

As a Data Engineer at Sporty, you will play a critical role in ensuring the smooth processing and handling of data for our machine learning and data science initiatives. Your primary responsibilities will include designing, building, testing, optimising, and maintaining data pipelines and architectures for various aspects of our rapidly growing business.

The Carrillo Lab at The University of Chicago is seeking a highly motivated Data Science Analyst to work primarily with lab members on various projects to analyze large data sets. As a key member of our team, this position will develop analytical and statistical pipelines to quantify and identify meaningful insights from transcriptomic, proteomic, and imaging data.

As a Data Engineer at TealBook, you will tremendously impact our engineering team and the broader organization, building the next-generation supplier data platform. You will design, build, test and deploy the required backend services to enable the system to ingest, process, store and distribute/present supplier data at web scale.

We are seeking an experienced Data Scientist III to manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring; you will apply advanced techniques in Python programming, machine learning, deep learning, and generative AI to address complex challenges and develop high-impact solutions.

Join the growing Data team as an early member and be responsible for the analytics and insights needs across the organization. Work with partner team leads to collect, visualize and interpret data that enables better decision-making through a deeper understanding of marketplace growth and operations. Help build deep partnership between the Data team and the rest of the organization.

Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation. You will play a key role in data engineering, ensuring our infrastructure is scalable, reliable, and optimized for large-scale data processing.

Lead a team in building and maintaining large scale data processing pipelines, focusing on information extraction from AV logs and data transformation. You will design scalable data processing solutions, implement interfaces for self-service data pipelines, and champion code quality while mentoring engineers in a fast-paced environment. Your work will deal with petabyte scale data.

You will play a critical part in transforming raw data into actionable insights that drive decision-making and business strategy. You will work closely with cross-functional teams to analyze data, identify trends, and provide recommendations that support organizational goals. Collect, clean, and organize large datasets from various sources.