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.

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.

Play a critical role in standing up and maintaining the data pipelines and infrastructure that power AI initiatives across the company. This role is a hybrid between data engineering and MLOps —ensuring that AI engineers have clean, structured data for modeling while also building and managing the ML infrastructure for deployment, scaling, and monitoring.

Assist in maintaining and improving data visualization dashboards to track key HR metrics. Support the management and optimization of People Data processes, ensuring accuracy and efficiency. Help automate reports and validate data to maintain data integrity. Collaborate with different teams to gather requirements for data analysis. Conduct ad-hoc data analysis.

Join a global leader in government technology as a Senior Data Engineer. You’ll leverage data from application event streams, product databases, and third-party sources to help stakeholders create products and answer business questions. Revamp orchestration and execution to reduce critical data delivery times and stand up a reporting system in BigQuery from scratch.

Leverage your analytical skills to identify patterns, trends, and insights in large data sets. Use industry standard techniques to create features, clean datasets and develop pipelines to train and serve our models. Evaluate the credit risk of potential borrowers using your developed models, effectively assigning credit scores or probability of default values.

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.

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.