Applied AI Scientist: Enterprise Demos & Deployments

Raydar; San Francisco (CA); On-site; USD 170,000 - 300,000; Full time

Benefits offered by this job

Health, dental and vision coverage

401(k)

Commuter benefits

Unlimited PTO

Job summary

Raydar is seeking an Applied AI Scientist in San Francisco to partner with customers from first demo through deployment. You will blend hands-on data science with clear communication to translate operational data into measurable business value.

You will build custom demos using Python and SQL, analyze data to quantify impact, and support pilots, evaluations and enterprise deployments while contributing to team growth.

Qualifications

• 3-8 years in data science, forward deployed engineering or solutions architecture.
• Customer-facing experience managing enterprise deployments, pilots, demos or operational data challenges.
• Ability to build custom demos and proofs of concept in Python and SQL.
• Strong machine learning and data science fundamentals, including experience selling a product requiring an understanding of machine learning.
• Experience at ML platforms, early-stage startups or leading consulting firms.
• A bachelor’s degree in a STEM or quantitative field.
• Ability to lead demos that resonate with both technical and non-technical stakeholders.

Responsibilities

• Understand customer operational challenges and communicate them to technical and business stakeholders.
• Lead technical and value-focused demos and build custom prototypes and proofs of concept.
• Analyze customer data using Python and SQL to quantify business impact.
• Partner with customers during evaluations, pilots and implementations.
• Support active deployments and help build the Applied AI team.

Skills

Data science

Python

SQL

Machine learning

Customer-facing

Demos

Enterprise deployments

Education

Bachelor's degree in STEM

Tools

ML platforms

Job description

Raydar is seeking an Applied AI Scientist in San Francisco to partner with customers from first demo through deployment. You will blend hands-on data science with clear communication to translate operational data into measurable business value.

You will build custom demos using Python and SQL, analyze data to quantify impact, and support pilots, evaluations and enterprise deployments while contributing to team growth.