As part of the Engine team, youβll play a vital role in an environment where innovation meets collaboration, analyzing large-scale pricing datasets to identify trends and benchmark comparable properties across regions. Your responsibilities include architecting core pricing intelligence systems using robust statistical ML methods that form the foundation for their next-generation pricing platform, building enterprise-grade ML models, and developing strategic pricing algorithms.
Job listings
Build deep-dive analyses and machine learning models to better forecast risk across the portfolio for our insurance captive for contracts and claims activity. Perform A/B testing and optimization across consumer-facing product touch points on merchant sites. Drive portfolio-wide revenue optimization and communication to merchants on personalized optimization based on testing across our platform.
This role involves designing and implementing scalable, compliant, and analytics-ready data systems to support the Clinical Affairs team. The individual will lead the development of infrastructure and SOPs for clinical data handling, secure storage, and access, ensuring regulatory alignment. In addition to clinical responsibilities, the role will contribute to Karius' enterprise-wide data lake, helping integrate data from various sources into a unified platform.
Helping to grow the Rackspace Cloud data practice, acting as the expert in the region and supporting the sales of our data projects on AWS Cloud. Working directly with our sales team to propose solutions to customers to achieve business outcomes using AWS Cloud. Responsible for understanding clientsβ business requirements as they pertain to Data solutions, qualifying opportunities and creating designs that match the requirements with appropriate products, managed and professional services.
Seeking a Solutions Architect to join the West Coast Solutions Architecture team and help drive customer success. In this role, youβll lead technical evaluations, deliver compelling demos, and serve as a trusted advisor throughout the customer journey. Youβll work closely with our largest, most strategic accounts, helping them unlock value from dbt and scale their analytics practices.
TigerData is looking for a skilled and innovative Data Engineer with expertise in building scalable data infrastructure and a passion for enabling data-driven decision making across the organization. You will play a crucial role in designing, building, and maintaining the data systems that power our analytics, product insights, and business intelligence initiatives. Data Engineers at Timescale are essential for ensuring our teams have reliable, accurate, and accessible data to make informed decisions.
As a Technical Business Analyst/Product Owner, you will apply your knowledge to all aspects of the software development lifecycle and partner with stakeholders to stay focused on business goals. You'll work in a collaborative, trusting, thought-provoking environment, encouraging diversity of thought and creative solutions. You will also manage end-to-end project & Business Analyst functions and Product management functions.
Designs, develops, builds, analyzes, evaluates, and installs database management systems including database modeling and design. Writes and tunes SQL queries for performance and scalability. Implements backup and database replication solutions and participates in Data Corrections. Responsible for QLIK reporting tool, including writing QLIK reports and using ETL/QVD generators to supply source data.
The Senior Data Scientist will be leading in tackling challenging problems and creating statistical, machine learning, and deep learning models that impact millions of users. This role will mentor junior team members to develop a strong future for Data Science at iHerb, turning insights into robust products.
The Data Engineer participates in the design and build of modern data products that comprise of raw data stores (data lakes) and cleansed data repositories, populated by batch or streaming data pipelines. The Data Engineer works with a team to create a robust, sustainable and flexible design and leads the technical delivery using Agile delivery frameworks like Scrum or Kanban.