The Principal 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 AI/ML 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:

• Ideate. Work with cyber security experts to help determine the right products to build, which will drive impacts internally and/or externally
• Innovate. Work with large, complex data sets to develop AI & ML based solutions that meet of exceed customer expectations
• Production. Help drive scalable solutions across the multitude of customers.
• Interact. Work with Deepwatch’s largest clients to assess business and operational needs
• Problem Solve.  Provide alternate solutions to complex problems, assessing the pros and cons of each solution
• Represent the Deepwatch brand and company to customers, prospects, and vendors

To be successful in this role, you’ll need to demonstrate:

• Masters in computer science, statistics, engineering, mathematics or another relevant discipline.
• 10+ years of experience using ML to solve problems using traditional machine learning (ML), natural language processing (NLP), and/or other AI domains.
• Experience with machine learning applications.
• Experience with large, complex data sets

The ideal candidate will demonstrate:

• PhD degree in computer science, statistics, engineering, mathematics or other relevant discipline.
• Passion for responsibly building and operating ML systems in both classical and generative AI.
• Ability to engage with other internal communities on issues of security, safety, and explainability.
• Excellent verbal and written communication skills.
• Demonstrated ability to synthesize large amounts of complex data and communicate complex concepts effectively to internal and external stakeholders.
• Ability to deliver in a fast-paced environment with shifting priorities and multiple stakeholders distributed across product, engineering and science teams.
• Willingness to travel
• 2+ years of using AWS SageMaker, Bedrock, or similar productS
• Expertise deploying solutions on AWS 

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 citizen of the U.S.;
• A lawful permanent resident of the United States; 
• A person admitted to the United States as a refugee; or
• A person that has been granted asylum by the United States government.”

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.”

Statutory Pay Disclosure:

For applicants in NYC, CO, CA, RI, and WA, the salary range for this role is $160,000 to $200,000 + 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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