Data Science Jobs in Austin

10

Data Scientist

Opcity Inc
Austin
3 hours 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. 

Data Science Engineer

Senior Manager, Data Science

RetailMeNot, Inc.
Austin
3 days ago
+30
In your role, you will lead two teams of data scientists, data engineers, quality engineers and an engineering manager to deliver business results and technology innovation. You will work with product managers and engineering principals to define longterm vision and objectives for the teams you lead. You will partner with the Data Platform team to ensure their data infrastructure and tooling supports the efficient execution of high-value machine learning-based products and capabilities. 

Senior Data Scientist

Data Visualization Analyst (fractional)

Living Security
Austin
3 days ago
+22
We are looking for a driven-data analyst that takes pride in creating visually-pleasing and meaningful dashboards. You will have the opportunity to work with unique data sets and our data science subject matter expert (SME) to design industry-leading collection activities for the visualization of human risk metrics. The ideal candidate will be a self-starter and passionate about clean, efficient data visualization. This position could begin as a remote, fractional-to-hire position with the potential to become a full-time position.

Data Engineer

StoryFit
Austin
4 days ago
StoryFit applies NLP & AI to narrative content (books & screenplays) to provide insights to the entertainment industry. Are you a strong Python developer that would like to learn more about machine learning and gain great experience managing enormous data resources? StoryFit is the world's leading platform for machine reading of books, movie and TV scripts. We're looking for an exceptional developer to design, implement and maintain our data

Data Science Platform Developer

Iodine Software
Austin
5 days ago
+11
We are looking for a Data Science Platform Developer that will help us build out the platform that supports the training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

Senior Data Scientist

HomeAway
Austin
5 days 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 II: Yield Optimization

Machine Learning Leader

CognitiveScale
Austin
6 days ago
Effectively lead, motivate, and scale a highly talented machine learning team doing applied research and development. Lead the development of AI accelerators and infrastructure requirements for our platform. Align with peers in sales, marketing, customer success, and engineering teams to make sure our AI capabilities are delivered to the market in the most effective way. Work with our customer success team to estimate the effort involved and skills needed from a machine learning perspective for a specific customer engagement. Design and champion best practices and processes that drive organizational excellence. Handle team coordination and management tasks such as project assignments, defining team member business objectives, operations, etc..

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.

Senior Machine Learning Engineer - Infrastructure…

Duo Security
Austin
1 week ago
+13
Research and prototype new threat detection product features, making Duo’s products even more effective and usable. Develop machine learning approaches to address key challenges, such as robustness against active adversaries, explainability of predictions, and usability by organizations with limited security resources. Publication is encouraged. Design machine learning systems that deliver highly scalable, low-latency results on streaming data. Influence strategic direction for the data science at Duo. Work closely with Duo’s engineering team to deliver your advances into the hands of millions of users at thousands of Duo customers.

Data Engineer

RunTitle
Austin
3 weeks ago
+14
We are looking for a teammate that is excited to take ownership of our data infrastructure and put us on a path where we are iterating quickly and using data to solve some of the biggest problems facing our industry. You will have a seat at the table in making technology decisions and in helping determine what and how we build things as opposed to just getting handed specifications to implement.

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