Come join Deepwatch’s team of world-class cybersecurity professionals and the brightest minds in the industry. If you're ready to challenge yourself with work that matters, then this is the place for you. We're redefining cybersecurity as one of the fastest growing companies in the U.S. – and we have a blast doing it!

Who We Are

Deepwatch is the leader in managed security services, protecting organizations from ever-increasing cyber threats 24/7/365. Powered by Deepwatch’s cloud-based security operations platform, Deepwatch provides the industry’s fastest, most comprehensive detection and automated response to cyber threats together with tailored guidance from dedicated experts to mitigate risk and measurably improve security posture. Hundreds of organizations, from Fortune 100 to mid-sized enterprises, trust Deepwatch to protect their business. 

Our core values drive everything we do at Deepwatch, including our approach to tackling tough cyber challenges. We seek out tenacious individuals who are passionate about solving complex problems and protecting our customers. At Deepwatch, every decision, process, and hire is made with a focus on improving our cybersecurity solutions and delivering an exceptional experience for our customers. By embracing our values, we create a culture of excellence that is dedicated to empowering our team members to explore their potential, expand their skill sets, and achieve their career aspirations, which is supported by our unique annual professional development benefit.

Deepwatch recognition includes:

• 2023, 2022 and 2021 Great Place to Work® Certified
• 2023 and 2022 Forbes America’s Best Startup Employers
• 2023 and 2022 Fortress Cybersecurity Award
• 2023 $180M Series C investment from Springcoast Capital Partners, Splunk Ventures, and Vista Credit Partners of Vista Equity Partners
• 2022 Cigna Healthy Workforce Silver Designation
• 2022 Cybersecurity Excellence Award for MDR

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:

• 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 Generative AI  based solutions that meet of exceed customer expectations
• Drive solutions. 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:

• Have 4+ years of data scientist experience
• Advanced experience (5+ years) with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• Have experience with statistical models (e.g. multinomial logistic regression) and Natural Language Processing (NLP)
• Demonstrated experience using AWS SageMaker, Bedrock, or similar product
• Manage data pipelines and deploy solutions on AWS
• Bachelor's or Master's degree with 4-8 years of relevant experience

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.

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.

What We Offer:

Deepwatch is excited to provide benefits designed to support team members and their families. Including:

• Medical, dental, vision, and disability insurance
• Flexible Time Off (FTO), 9 company holidays, sick leave and 8-Weeks Paid Parental Leave
• Unique professional development benefits, starting at $3,000 annually
• Wellness contests and monthly educational programs
• 401(K) retirement program with employer match
• Learn more here: Deepwatch Benefits

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.  Please review our DEI Statement here.

Deepwatch welcomes and encourages applications from people with disabilities and accommodations are available on request for candidates taking part in all aspects of the selection process. Please inform your recruiter or contact recruiting@deepwatch.com for further information.

All Deepwatch employees are expected to:

• Be interested in and able to work remotely from a home office when not at a corporate office
• Pass a pre-employment background and drug screen in accordance with applicable laws

Deepwatch is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, marital status, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law.  In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

By submitting your application, you agree that Deepwatch may collect your personal data for recruiting, global organization planning, and related purposes. The Deepwatch Privacy Policy explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Deepwatch’s use of your personal information.