You will partner directly with the Measurement Strategy team to scale the delivery and interpretation of results from our cutting-edge science platform to meet fast growing customer demands, serving as a trusted advisor to customers, focusing on driving value and confidence in results. Collaborating across teams you will develop solutions to ensure robust, reliable results and seamless communication at scale.
This is an exceptional opportunity to build out a dedicated analytics function and ecosystem within Valon Mortgage. The role involves developing reporting, generating insights, creating data products, and supporting data infrastructure. The ideal candidate is analytical, works well under changing circumstances, and possesses both technical skills and business intuition to drive positive change throughout the company.
The Analytics Engineer will play a key role in partnering with different Data teams and Data Engineering to conceptualize, design/model and implement Analytics and Business Intelligence Solutions to our data/metrics platform. You will be the go-to person for any data development for internal analytics as also interfacing Product teams and Data Science teams to assist and advise them to build data products.
The Data Engineer will support the Army’s Southeast Region Network Enterprise Center (RNEC) in developing and managing scalable data pipelines and advanced data integration capabilities and enabling real-time decision-making. The ideal candidate will bring hands-on experience in ETL development, cloud-based data platforms, and cross-domain data ingestion in support of Army analytics operations.
Reporting to the Senior Manager of Development and Operations, the role involves developing end-to-end data solutions with tools such as MWAA, Tableau, and Alteryx, as well as writing secure, stable, testable, and maintainable python code with minimal defects. The candidate will also collaborate with Engineering teams to discover and use data being introduced into the environment; troubleshoot data and perform detailed data analyses.
As a Sr Data scientist, you will play an important role in shaping our AI driven products and services. Your primary focus will be scouring our data warehouse, transforming large data into Machine learning ready datasets. You will further assist in developing, evaluating, A/B testing and deploying Machine learning models into production.
This is a contract position requiring a seasoned data scientist. The role supports organizational planning by driving product insights, metric definitions, and advanced analysis to influence feature development and topline growth, discovering opportunities through data and helping engineering teams make insight-driven decisions.
Perform data mining and analytics on F5 production data to gain insight into cybersecurity risks and threat actors targeting F5 customers. Identify and characterize automated threats against F5 customers’ applications and present threat summaries and proposed countermeasures to customer executive, security, and related teams. Conduct interview sessions with the customer management teams to understand the client's requirements.
In this role, you will make a positive impact on our research, predictive modeling, and long-term decision making to support our Basketball Operations stakeholders. You will also work closely with data engineering to deploy and monitor your work. The position reports to the Executive Director, Analytics and Innovation.
This Data Analyst will report to our Sr. Director of Research Solutions on the Partner team, focusing on supporting strategic engagements with Life Sciences partners, delivering collateral to demonstrate Truveta's value, driving adoption of Truveta Studio in the Life Sciences space, and leveraging technical skills to analyze Real World Data.