We are looking for a Data Ops Engineer-1 to help our customers explore their healthcare data, understand how to improve the health of the population and bring down the cost of healthcare. Responsibilities include creating customer facing documentation, removing ambiguity by documenting things, and converting tacit knowledge to implicit knowledge.

This critical, hands-on role owns the EPIC operational database (ODB) environments, performs environment setup and configuration, proactive monitoring, and maintenance. They own the creation and lifecycle of the EPIC Cache ODB environments that serve production, reporting, disaster recovery, training, and non-production needs. They install and maintain the administrative and monitoring tools necessary for high levels of availability and performance of the Epic system.

Build high performance, scalable data solutions that meet the needs of millions of agents, brokers, home buyers, and sellers. As a Senior Data Engineer, you’ll design, develop, and test robust, scalable data platform components. You’ll work with product engineers to understand their data pipeline needs and come up with innovative solutions.

This internship at PrizePicks offers students the opportunity to work with the data science team on complex sports modeling problems, contributing to model development while researching innovative approaches to fantasy sports challenges. Ideal candidates have a strong technical background in computer science, statistics, or related fields, with proficiency in Python and SQL, and a passion for sports analytics.

As Data Scientist, Finance you’ll play a key role in helping our finance team, executives and GTM teams grow our business by upleveling financial forecasts and building models with your ML and Python expertise. You will evolve core financial analyses and build insightful dashboards to track performance, delivering insights to the whole company.

The DGA is seeking a coding and data intern with programming and data experience to assist the opposition research team. Typical tasks include writing code and using data analysis to help update and replace antiquated research methods, as well as assisting with candidate research.

The Staff Data Engineer role involves designing, developing, and maintaining data pipelines and infrastructure to support marketing strategies, ensuring efficient data collection, storage, and analysis, requires collaboration with data scientists and stakeholders to provide high-quality data for insights and decision-making and deliver innovative solutions aligned with company's vision.

Lead the development and execution of an innovative new product in PAR’s portfolio focused on complex data sets. Oversee the design, management, and optimization of large, complex data sets that directly impact the growth and success of our products. Collaborate cross-functionally with engineering, product, marketing, and other teams.

As a Senior Data Analyst (III), you will play a critical role in driving our business strategy and growth by leveraging data to calculate contribution profit, EBITDA, revenue, and credit consumption. Your work will steer short and long term decisioning, championing a data-driven culture using data to answer business questions and deliver measurable results.

As a Risk Model Analyst on the Payments Risk Analytics team, you’ll be responsible for working cross functionally with our Risk machine learning team to evaluate Risk model performance, identify gaps and recommend solutions to improve model precision and recall and create/optimize features for our risk models to consume. This role will report to the Manager of Payments Risk for NAMER and UK/EU regions.