- Full Time
🌎 RemotePosted on: 26 November, 2024
Generative AI Data Scientist
Generative AI Data Scientist
Location: This job is available to work in one of our hub locations: Tampa, FL; Denver, CO; DC metro area, CA (Bay area), Austin, TX and will be hybrid
The Generative AI Data Scientist will innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed in the cloud. As a data scientist at Deepwatch, you are proficient in designing and developing advanced AI / ML / Generative AI based solutions to solve diverse customer problems. You will be working with terabytes of data to solve real-world problems. You will be working closely with business owners, analysts, subject matter experts and strategists to define use cases, and with other scientists and ML engineers on the team to design both experiments and production solutions.
The successful candidate will possess technical skills that will allow you to be the technical “face” of GenAI within our ecosystem as well as directly to end subject matter experts, line managers and executives. You will be able to drive discussions with senior technical and management personnel within the organization and with customers.
In this role, you’ll get to:
To be successful in this role, you’ll need to:
ITAR Compliance
This position will have access to customer data and as such is subject to International Traffic in Arms Regulations (ITAR). Upon application, candidates will be asked to confirm that they are a U.S. Person as defined by the following:
A lawful permanent resident of the United States;
The intent of this requirement is not to verify employment eligibility overall, but to ensure compliance with import/export regulations. If you do not meet these requirements, we encourage you to apply for other open roles at Deepwatch. This information will be verified upon offer of employment.
The salary range for this role is $160,000 to $240,000 + stock options + benefits. Actual compensation may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level.
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