The Product Engineer Role is a critical contributor to the design, development, optimization,automation, and maintenance of our core data platform and analytical solutions, with a strong focus on leveraging GCP services. The Product Engineer will work closely with data analysts, clinicians, and other engineers to understand their data needs and translate them into robust, scalable data pipelines.

Drive the development and implementation of cutting-edge machine learning algorithms and train sophisticated models; collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services; design system and model architectures.

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.

Point Wild is building the Trailblazer AI Team, and as a Senior AI Engineer, you will play a critical role in building, deploying, and operationalizing machine learning models that drive innovation across the company. This role is hands-on, requiring expertise across the entire AI development lifecycle. You will collaborate closely with R&D teams to scope AI initiatives, rapidly prototype models, and ensure scalable, maintainable AI solutions.

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.

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.