Mid Level Data Science Jobs in Austin

4

Data Science Engineer

Opcity Inc
Austin
2 days ago
+14
The Data Science Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The Date Science Engineer will consider optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. The Data Science Engineer should have the drive and ability to meet with relevant stakeholders, understand and model relevant data, and effectively communicate with an engineering team to put models into production. Demonstrating lifelong learning and collaboration; and willingness to take advice and fill gaps in knowledge is essential.

Data Scientist

Opcity Inc
Austin
3 days ago
+14
A Data Scientist here at Opcity helps define and build predictive models across the company from the ground up. This role requires the ability to tackle a new problem space with minimal guidance. The Data Scientist should have the drive and ability to meet with relevant stakeholders, understand and model relevant data, and effectively communicate with an engineering team to put models into production. Demonstrating lifelong learning and collaboration; and willingness to take advice and fill gaps in knowledge is essential. 

Senior Data Scientist

HomeAway
Austin
1 week ago
+28
Expedia We are looking for excellent Data Scientists to join our growing 20+ strong team. This position focuses on the measurement and optimization of our search relevance and ranking algorithms, so it is a good fit for those with backgrounds in information retrieval, recommender systems, economics and learning to rank. This role will work closely with our ranking development team to improve conversion originating from traveler searches. The

Data Scientist

ScaleFactor
Austin
1 week ago
+11
Work with a team of software engineers, QA engineers, and Product Managers. Perform data collection, preprocessing, feature engineering, data visualization and analysis. Build automation of data collection and preprocessing. Passion to answer Product/Engineering questions with data. Build models to address business problems. Engage with lines of business, users and analysts to explore and prototype opportunities and use-cases exploiting data and the application of cognitive and machine learning technologies. Design, develop, test and support new data products being created in the fintech space with financial & operational data.

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