Senior Data Scientist Jobs Near Austin, TX

Use visualization, reporting and other tools to improve the ways in which our team accesses and interprets datasets.

Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large sc...

Quickly understand how the Ethoca platform serves our customers' needs and how this translates into value for new and existing customers.

Collecting and understanding data sets for the purpose of analyzing business results, delivering business value, and determining new studies for future analysis...

As a data scientist with a focus on product analytics, you will partner with Product Managers, Designers, and Engineers to understand customer activity patterns, identify product opportunities, and me...

Communicate, collaborate and present results to clients within The Knot Worldwide. Answer strategic questions by analyzing behavioral data.

Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements...

Use data to uncover insights, drive product strategy, and tackle difficult business problems Design and analyze experiments; communicate results and influence product launch decisions...

Work closely with game teams to design, test, verify and implement machine learning models with games that impact the daily life of millions of users...

Responsible for independently developing statistical, machine-learning, and AI solutions including classification, regression, clustering, dimensionality reduction, forecasting, natural language proce...

Engage with the current analytics team to understand the data sets available, and top priority business questions; collaborate with business partners to identify business problems that can be addresse...

Build and execute various data science projects for product and business use cases across the organization (both product and technology).

Work side-by-side with the Sales, Account Management, and Field Engineering teams to help our customers achieve their goals with the company..

Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals...

The ideal candidate will have a mix of skills including engineering best practices, statistical expertise, and a strong business sense.

Responsible for managing solutions, delegating resources, and helping to ensure quality assurance principles are met across projects and deliverables. Supervise the work of team members and supports d...

We offer a highly collaborative and analytical environment to develop and grow your talent. Every week you will support product improvements and marketing campaigns that meet the growing needs of hun...

Work with the Director of Data Science to plan, implement, and support machine learning projects to help our customers work and ship more efficiently...

Help define, implement and support key data feeds from internal systems as well as from external partners that are necessary for the measurement of business performance and key KPIs...

Design and develop solutions for integration between disparate systems which include cloud-based sources such as Salesforce and Salesforce Marketing Cloud...

Responsible for the execution of a portfolio of greenfield projects, ensuring expectations for scope, schedule and budget are met.

Translate Supply Chain business problems and questions into specific quantitative questions to be answered with available data using robust methodologies. In many cases, the data collection at scale w...

Provide DevOps guidance, security guidance, architecture oversight, & security standards development to teams outside of the Security team

Build and maintain scalable scheduled jobs to extract, load and transform data, in addition to troubleshooting and fixing problems with existing processes...

Designing and maintaining columnar databases (e.g., Redshift, Snowflake).