The Data Scientist will be embedded within Wealthfront’s Investing area, enabling clients to confidently grow, preserve, and manage their wealth. Responsibilities include formulating project plans, employing mathematical rigor, collaborating with stakeholders, interpreting statistical results, and automating repetitive manual work.

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.

The Senior Data Analyst analyzes complex healthcare datasets, identifies trends, and translates them into actionable recommendations to improve patient outcomes, efficiency, and financial performance; this role requires collecting business and data requirements for product design and working with product teams throughout the project lifecycle.

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.

Arlo is seeking a highly skilled and motivated Business Analyst / Data Scientist to support the National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Service (NMFS) Cloud Program Office Initiative. The candidate will conduct assessments, analyze data, and develop recommendations to establish a Cloud Program Office (CPO) framework and implement cloud/AI/ML capabilities.

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.